{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "5d1c7f80-3c7a-4b7e-90bf-d8a96d2d6ff3",
   "metadata": {},
   "source": [
    "# 1. Phage display: FXIa selection"
   ]
  },
  {
   "attachments": {
    "3c416289-f455-4397-90f6-9d37f8bde868.png": {
     "image/png": 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"
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"
    }
   },
   "cell_type": "markdown",
   "id": "d7ee4944-0bc8-4a6b-a559-6bbab86e61b8",
   "metadata": {},
   "source": [
    "This notebook demonstrates the use of clibas to analyze phage display library selections using data from Heinis and co-workers as an example.<br>\n",
    "\n",
    "For further details and the source of data, see [X. Kong _et al_. De novo development of proteolytically resistant therapeutic peptides for oral administration. _Nat Biomed Eng_ **2020**, 4, 560–571](https://www.nature.com/articles/s41551-020-0556-3)\n",
    "\n",
    "In the paper, the authors design and screen sophisticated bicyclic peptide libraries containing four cysteine residues separated by random regions of variable length and configuration against Factor XIa protein (FXIa). See Fig. 1C from the original paper (reproduced below):\n",
    "\n",
    "![Heinis library.png](attachment:d7d7583a-86cd-4cc4-bf02-f95e094cf26e.png)\n",
    "\n",
    "The libraries were additionally cyclized with external electrophilic linkers, but their identity is not encoded in the NGS data, so we will only analyze peptide sequences here.\n",
    "\n",
    "The NGS-derived DNA reads, once aligned, look something like this:\n",
    "\n",
    "![001.png](attachment:bd537c76-903d-4e41-aa21-68f805848682.png)\n",
    "\n",
    "The reads, provided in single-end format, have variable lengths. They all have constant regions flanking the library insert on the N- (\"MA\") and C-terminal (\"GSGA...\") sides. These variable-length reads are not easy to deal with. To simplify the analysis, we can trim them to the constant regions as the first operation in the pipeline. DNA and peptide library designs for a clibas pipeline can then be written like this:  \n",
    "\n",
    "![002.png](attachment:3c416289-f455-4397-90f6-9d37f8bde868.png)\n",
    "\n",
    "These designs generally work, but they don't enforce two additional cysteines present in each peptide. Some peptides that only contain 2 or 3 cysteine residues will also be captured by downstream filtering. If this is to be avoided, every (m+n+o) combination of cysteines inside the insert can be spelled out as a separate template. Here, we opt for simplicity and lump them all together.\n",
    "\n",
    "A `.yaml` config file can then be written accordingly:"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f17b2213-a8f1-4a6f-bb8b-d40e2a8bbd98",
   "metadata": {},
   "source": [
    "```yaml\n",
    "experiment: \"Heinis_FXIa_selection\"\n",
    "\n",
    "LibraryDesigns:\n",
    "  dna_templates:\n",
    "    - \"CCAGCCGGCCATGGCG111232111111111111111232111GGTTCTGGC\"\n",
    "    - \"CCAGCCGGCCATGGCG111232111111111111111111232111GGTTCTGGC\"\n",
    "    - \"CCAGCCGGCCATGGCG111232111111111111111111111232111GGTTCTGGC\"\n",
    "    - \"CCAGCCGGCCATGGCG111232111111111111111111111111232111GGTTCTGGC\"\n",
    "    - \"CCAGCCGGCCATGGCG111232111111111111111111111111111232111GGTTCTGGC\"\n",
    "    - \"CCAGCCGGCCATGGCG111232111111111111111111111111111111232111GGTTCTGGC\"\n",
    "    \n",
    "  dna_monomers:\n",
    "    1: [\"A\", \"G\", \"T\", \"C\"] #N\n",
    "    2: [\"T\"]\n",
    "    3: [\"G\"]\n",
    "    \n",
    "  pep_templates:\n",
    "    - \"MA121111121GSG\"\n",
    "    - \"MA1211111121GSG\"\n",
    "    - \"MA12111111121GSG\"\n",
    "    - \"MA121111111121GSG\"\n",
    "    - \"MA1211111111121GSG\"\n",
    "    - \"MA12111111111121GSG\"\n",
    " \n",
    "  pep_monomers:\n",
    "    1: [\"A\", \"C\", \"D\", \"E\", \"F\", \"G\", \"H\", \"I\", \"K\", \"L\", \"M\", \"N\", \"P\", \"Q\", \"R\", \"S\", \"T\", \"V\", \"W\", \"Y\"]\n",
    "    2: [\"C\"]\n",
    "\n",
    "FastqParserConfig:\n",
    "  orf_locator: \"GGC.ATG\"            # A regex pattern that has to match to initiate the ORF \n",
    "\n",
    "TrackerConfig:\n",
    "  logs: \"./outputs/Heinis_FXIa\"                 # Directory for writing logs to\n",
    "  parser_out: \"./outputs/Heinis_FXIa\"           # Directory that stores fastq parser outputs\n",
    "  analysis_out: \"./outputs/Heinis_FXIa\"         # Directory that stores outputs of data analysis operations\n",
    "  \n",
    "LoggerConfig:\n",
    "  verbose: true                     # Verbose loggers print to the console\n",
    "  log_to_file: false                # Write logs to file\n",
    "  level: \"INFO\"                     # Logger level; accepted values: \"DEBUG\", \"INFO\", \"WARNING\", \"ERROR\"\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3b3cb76b-91ad-4f50-a68c-84d5280656cc",
   "metadata": {},
   "source": [
    "In addition to `LibraryDesigns`, we also specify `orf_locator`: `\"GGC.ATG\"`. This helps the parser locate the ORF at the 5' end of the reads. This is optional. If not specified, `\"ATG\"` will be used to locate ORFs which works fine most of the time. `TrackerConfig` and `LoggerConfig` specifications are also optional. \n",
    "\n",
    "To build a pipeline for these designs, we first intialize clibas facade using this config file:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "d2ff1cf6-63e2-404f-a1b6-ae51321c9aae",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[WARNING]: <Dispatcher>: config is missing some basic definitions (bases, amino acids, translation tables, etc); will use defaults for the missing values. . . \n",
      "[INFO]: <clibas> succesfully loaded config and is ready. . .\n"
     ]
    }
   ],
   "source": [
    "import clibas as C\n",
    "\n",
    "C.initialize(config_path=\"Heinis_FXIa_config.yaml\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f99ddab6-6e9d-4c62-8db7-0a915077f7d3",
   "metadata": {},
   "source": [
    "Now we can build the pipeline. As explained above, we trim the reads first, translate them to DNA right after, and process from there. \n",
    "A few things to note:\n",
    "\n",
    "> i) we collect DNA/peptide lengths before doing any filtering to see an unbiased distribution of reads.\n",
    ">  \n",
    "> ii) the `count_summary` operation is called multiple times:  \n",
    "> - first, before doing any filtering to see the initial (raw) composition of the library at the peptide level \n",
    "> - then at the end, after removing noise, to generate both `.csv` and `.fasta` files for the most enriched peptides.\n",
    "> \n",
    "> iii) we call `umap_hdbscan_analysis` to see how the resulting peptides cluster after all processing is done. It is discussed in more detail below. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "41e030cc-82e3-4039-ab46-4f4022fecf89",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[INFO]: 24 ops appended to pipeline; current queue size: 24\n"
     ]
    }
   ],
   "source": [
    "C.pipeline.enque(\n",
    "    [\n",
    "        # trim DNA reads\n",
    "        C.fastq_parser.trim_reads(left=\"CCAGCC\", right=\"GGTTCTGGC\", tol=1),\n",
    "        # translate DNA -> peptide, use the ORF_locator to find ORFs\n",
    "        C.fastq_parser.translate(stop_readthrough=False),\n",
    "        # length analysis of trimmed DNA reads and the resulting peptides\n",
    "        # we do it before filtering any reads to get an unbiased view\n",
    "        C.analysis_tools.length_analysis(where=\"pep\"),\n",
    "        C.analysis_tools.length_analysis(where=\"dna\"),\n",
    "        # analyze average Phred quality scores\n",
    "        # we do it before filtering any reads to get an unbiased view\n",
    "        C.analysis_tools.q_score_analysis(loc=None),\n",
    "        # count the peptides before doing any filtrtion\n",
    "        C.fastq_parser.count_summary(where=\"pep\", top_n=1000, fmt=\"csv\"),\n",
    "        # discard the peptides of incorrect length (incompatible with library designs)\n",
    "        C.fastq_parser.len_filter(where=\"pep\"),\n",
    "        # discard the peptides with incorrect/overly mutated constant regions\n",
    "        # up to 2 mutations are tolerated\n",
    "        C.fastq_parser.cr_filter(where=\"pep\", loc=[0, 2], tol=2),\n",
    "        # discard the peptides contained unallowed monomers in the variable region\n",
    "        C.fastq_parser.vr_filter(where=\"pep\", loc=[1], sets=[1, 2]),\n",
    "        # discard the peptides containing Q scores below 30 in region 1 (random insert region)\n",
    "        C.fastq_parser.q_score_filt(minQ=30, loc=[1]),\n",
    "        # clip peptide sequences to region 1 (random insert region)\n",
    "        C.fastq_parser.fetch_at(where=\"pep\", loc=[1]),\n",
    "        # discard all peptides containing any ambiguous amino acids\n",
    "        # stemming from N nucleotide base calling etc\n",
    "        C.fastq_parser.filt_ambiguous(where=\"pep\"),\n",
    "        # analyze the convergence of the peptide library at the sequence level\n",
    "        C.analysis_tools.sequence_convergence_analysis(where=\"pep\"),\n",
    "        # analyze the convergence of the peptide/DNA library at the token level\n",
    "        # by token, we mean amino acid/nucleotide: basically positional freq analysis\n",
    "        C.analysis_tools.token_convergence_analysis(where=\"pep\", loc=None),\n",
    "        C.analysis_tools.token_convergence_analysis(where=\"dna\", loc=None),\n",
    "        # unpad all arrays: optional, maybe used to free up some memory; not srictly needed in this case\n",
    "        C.fastq_parser.unpad(),\n",
    "        # save the peptide datasets as numpy .npy files\n",
    "        C.fastq_parser.save(where=\"pep\", fmt=\"npy\"),\n",
    "        # count peptides/DNA again - this time after all filtration ops have been called\n",
    "        C.fastq_parser.count_summary(where=\"pep\", top_n=1000, fmt=\"csv\"),\n",
    "        C.fastq_parser.count_summary(where=\"pep\", top_n=100, fmt=\"fasta\"),\n",
    "        C.fastq_parser.count_summary(where=\"dna\", top_n=1000, fmt=\"csv\"),\n",
    "        C.fastq_parser.count_summary(where=\"dna\", top_n=100, fmt=\"fasta\"),\n",
    "        # make a table showing the number of reads belonging to each individual\n",
    "        # library template for every sample in the batch\n",
    "        C.fastq_parser.library_design_match(where=\"pep\"),\n",
    "        # make one joint peptide count summary - track peptides from sample to sample\n",
    "        C.fastq_parser.dataset_wide_count_summary(where=\"pep\", top_n=2000),\n",
    "        # run UMAP/HDBSCAN analysis on top 1000 peptides; use ECFP4 representation,\n",
    "        # and embed all samples onto a single manifold to enable direct comparisons\n",
    "        C.analysis_tools.umap_hdbscan_analysis(\n",
    "            top_n=1000,\n",
    "            where=\"pep\",\n",
    "            F=\"pep_ECFP4\",\n",
    "            single_manifold=True,\n",
    "            return_modified=True,\n",
    "        ),\n",
    "    ]\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a67cd2a7-6429-417b-8643-6b447a6544de",
   "metadata": {},
   "source": [
    "Note that at this stage, no data processing has taken place. The pipeline only asserts the validity of the arguments, and their consistency with the specified library designs.\n",
    "\n",
    "To run analysis, we need to specify a data loader, and then execute the pipeline:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "67422e8c-5ac3-4bb0-bcd3-85e30d035fd1",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[INFO]: Queuing <fetch_dir_fastq> op. . .\n",
      "[INFO]: Fetching FXIa_Round2_Linker7.fastq. . .\n",
      "[INFO]: Fetching FXIa_Round3_Linker7.fastq. . .\n",
      "[INFO]: Fetching FXIa_Round5_Linker7_0pSIF.fastq. . .\n",
      "[INFO]: Fetching FXIa_Round5_Linker7_10pSIF.fastq. . .\n",
      "[INFO]: Fetching FXIa_Round5_Linker7_1pSIF.fastq. . .\n",
      "[INFO]: Fetching FXIa_Round6_Linker7_0pSIF.fastq. . .\n",
      "[INFO]: Fetching FXIa_Round6_Linker7_10pSIF.fastq. . .\n",
      "[INFO]: Fetching FXIa_Round6_Linker7_1pSIF.fastq. . .\n",
      "[INFO]: The operation took 30.495 s\n",
      "[INFO]: FXIa_Round2_Linker7 dataset size: 2928254\n",
      "[INFO]: FXIa_Round3_Linker7 dataset size: 2335880\n",
      "[INFO]: FXIa_Round5_Linker7_0pSIF dataset size: 2007008\n",
      "[INFO]: FXIa_Round5_Linker7_10pSIF dataset size: 2072144\n",
      "[INFO]: FXIa_Round5_Linker7_1pSIF dataset size: 2163954\n",
      "[INFO]: FXIa_Round6_Linker7_0pSIF dataset size: 1973700\n",
      "[INFO]: FXIa_Round6_Linker7_10pSIF dataset size: 1755820\n",
      "[INFO]: FXIa_Round6_Linker7_1pSIF dataset size: 2256214\n",
      "[INFO]: -----------------------------------------------------------------\n",
      "[INFO]: Queuing <trim_exp> op. . .\n",
      "[INFO]: The operation took 35.055 s\n",
      "[INFO]: FXIa_Round2_Linker7 dataset size: 2928254\n",
      "[INFO]: FXIa_Round3_Linker7 dataset size: 2335880\n",
      "[INFO]: FXIa_Round5_Linker7_0pSIF dataset size: 2007008\n",
      "[INFO]: FXIa_Round5_Linker7_10pSIF dataset size: 2072144\n",
      "[INFO]: FXIa_Round5_Linker7_1pSIF dataset size: 2163954\n",
      "[INFO]: FXIa_Round6_Linker7_0pSIF dataset size: 1973700\n",
      "[INFO]: FXIa_Round6_Linker7_10pSIF dataset size: 1755820\n",
      "[INFO]: FXIa_Round6_Linker7_1pSIF dataset size: 2256214\n",
      "[INFO]: -----------------------------------------------------------------\n",
      "[INFO]: Queuing <translate_dna> op. . .\n",
      "[INFO]: The operation took 81.158 s\n",
      "[INFO]: FXIa_Round2_Linker7 dataset size: 2928254\n",
      "[INFO]: FXIa_Round3_Linker7 dataset size: 2335880\n",
      "[INFO]: FXIa_Round5_Linker7_0pSIF dataset size: 2007008\n",
      "[INFO]: FXIa_Round5_Linker7_10pSIF dataset size: 2072144\n",
      "[INFO]: FXIa_Round5_Linker7_1pSIF dataset size: 2163954\n",
      "[INFO]: FXIa_Round6_Linker7_0pSIF dataset size: 1973700\n",
      "[INFO]: FXIa_Round6_Linker7_10pSIF dataset size: 1755820\n",
      "[INFO]: FXIa_Round6_Linker7_1pSIF dataset size: 2256214\n",
      "[INFO]: -----------------------------------------------------------------\n",
      "[INFO]: Queuing <length_summary> op. . .\n",
      "[INFO]: The operation took 9.014 s\n",
      "[INFO]: FXIa_Round2_Linker7 dataset size: 2928254\n",
      "[INFO]: FXIa_Round3_Linker7 dataset size: 2335880\n",
      "[INFO]: FXIa_Round5_Linker7_0pSIF dataset size: 2007008\n",
      "[INFO]: FXIa_Round5_Linker7_10pSIF dataset size: 2072144\n",
      "[INFO]: FXIa_Round5_Linker7_1pSIF dataset size: 2163954\n",
      "[INFO]: FXIa_Round6_Linker7_0pSIF dataset size: 1973700\n",
      "[INFO]: FXIa_Round6_Linker7_10pSIF dataset size: 1755820\n",
      "[INFO]: FXIa_Round6_Linker7_1pSIF dataset size: 2256214\n",
      "[INFO]: -----------------------------------------------------------------\n",
      "[INFO]: Queuing <length_summary> op. . .\n",
      "[INFO]: The operation took 29.245 s\n",
      "[INFO]: FXIa_Round2_Linker7 dataset size: 2928254\n",
      "[INFO]: FXIa_Round3_Linker7 dataset size: 2335880\n",
      "[INFO]: FXIa_Round5_Linker7_0pSIF dataset size: 2007008\n",
      "[INFO]: FXIa_Round5_Linker7_10pSIF dataset size: 2072144\n",
      "[INFO]: FXIa_Round5_Linker7_1pSIF dataset size: 2163954\n",
      "[INFO]: FXIa_Round6_Linker7_0pSIF dataset size: 1973700\n",
      "[INFO]: FXIa_Round6_Linker7_10pSIF dataset size: 1755820\n",
      "[INFO]: FXIa_Round6_Linker7_1pSIF dataset size: 2256214\n",
      "[INFO]: -----------------------------------------------------------------\n",
      "[INFO]: Queuing <q_score_summary> op. . .\n",
      "[INFO]: The operation took 51.637 s\n",
      "[INFO]: FXIa_Round2_Linker7 dataset size: 2928254\n",
      "[INFO]: FXIa_Round3_Linker7 dataset size: 2335880\n",
      "[INFO]: FXIa_Round5_Linker7_0pSIF dataset size: 2007008\n",
      "[INFO]: FXIa_Round5_Linker7_10pSIF dataset size: 2072144\n",
      "[INFO]: FXIa_Round5_Linker7_1pSIF dataset size: 2163954\n",
      "[INFO]: FXIa_Round6_Linker7_0pSIF dataset size: 1973700\n",
      "[INFO]: FXIa_Round6_Linker7_10pSIF dataset size: 1755820\n",
      "[INFO]: FXIa_Round6_Linker7_1pSIF dataset size: 2256214\n",
      "[INFO]: -----------------------------------------------------------------\n",
      "[INFO]: Queuing <fastq_count_summary> op. . .\n",
      "[INFO]: The operation took 9.0 s\n",
      "[INFO]: FXIa_Round2_Linker7 dataset size: 2928254\n",
      "[INFO]: FXIa_Round3_Linker7 dataset size: 2335880\n",
      "[INFO]: FXIa_Round5_Linker7_0pSIF dataset size: 2007008\n",
      "[INFO]: FXIa_Round5_Linker7_10pSIF dataset size: 2072144\n",
      "[INFO]: FXIa_Round5_Linker7_1pSIF dataset size: 2163954\n",
      "[INFO]: FXIa_Round6_Linker7_0pSIF dataset size: 1973700\n",
      "[INFO]: FXIa_Round6_Linker7_10pSIF dataset size: 1755820\n",
      "[INFO]: FXIa_Round6_Linker7_1pSIF dataset size: 2256214\n",
      "[INFO]: -----------------------------------------------------------------\n",
      "[INFO]: Queuing <length_filter> op. . .\n",
      "[INFO]: The operation took 9.904 s\n",
      "[INFO]: FXIa_Round2_Linker7 dataset size: 2546300\n",
      "[INFO]: FXIa_Round3_Linker7 dataset size: 1874623\n",
      "[INFO]: FXIa_Round5_Linker7_0pSIF dataset size: 1960558\n",
      "[INFO]: FXIa_Round5_Linker7_10pSIF dataset size: 2024024\n",
      "[INFO]: FXIa_Round5_Linker7_1pSIF dataset size: 2114460\n",
      "[INFO]: FXIa_Round6_Linker7_0pSIF dataset size: 1925594\n",
      "[INFO]: FXIa_Round6_Linker7_10pSIF dataset size: 1717148\n",
      "[INFO]: FXIa_Round6_Linker7_1pSIF dataset size: 2204474\n",
      "[INFO]: -----------------------------------------------------------------\n",
      "[INFO]: Queuing <constant_region_filter> op. . .\n",
      "[INFO]: The operation took 3.729 s\n",
      "[INFO]: FXIa_Round2_Linker7 dataset size: 2529394\n",
      "[INFO]: FXIa_Round3_Linker7 dataset size: 1847468\n",
      "[INFO]: FXIa_Round5_Linker7_0pSIF dataset size: 1950872\n",
      "[INFO]: FXIa_Round5_Linker7_10pSIF dataset size: 2012821\n",
      "[INFO]: FXIa_Round5_Linker7_1pSIF dataset size: 2104087\n",
      "[INFO]: FXIa_Round6_Linker7_0pSIF dataset size: 1916184\n",
      "[INFO]: FXIa_Round6_Linker7_10pSIF dataset size: 1707891\n",
      "[INFO]: FXIa_Round6_Linker7_1pSIF dataset size: 2193803\n",
      "[INFO]: -----------------------------------------------------------------\n",
      "[INFO]: Queuing <variable_region_filter> op. . .\n",
      "[INFO]: The operation took 41.707 s\n",
      "[INFO]: FXIa_Round2_Linker7 dataset size: 2472978\n",
      "[INFO]: FXIa_Round3_Linker7 dataset size: 1779595\n",
      "[INFO]: FXIa_Round5_Linker7_0pSIF dataset size: 1874875\n",
      "[INFO]: FXIa_Round5_Linker7_10pSIF dataset size: 1936452\n",
      "[INFO]: FXIa_Round5_Linker7_1pSIF dataset size: 2026216\n",
      "[INFO]: FXIa_Round6_Linker7_0pSIF dataset size: 1839521\n",
      "[INFO]: FXIa_Round6_Linker7_10pSIF dataset size: 1641830\n",
      "[INFO]: FXIa_Round6_Linker7_1pSIF dataset size: 2112352\n",
      "[INFO]: -----------------------------------------------------------------\n",
      "[INFO]: Queuing <q_score_filter> op. . .\n",
      "[INFO]: The operation took 8.009 s\n",
      "[INFO]: FXIa_Round2_Linker7 dataset size: 2291655\n",
      "[INFO]: FXIa_Round3_Linker7 dataset size: 1521217\n",
      "[INFO]: FXIa_Round5_Linker7_0pSIF dataset size: 1632841\n",
      "[INFO]: FXIa_Round5_Linker7_10pSIF dataset size: 1693723\n",
      "[INFO]: FXIa_Round5_Linker7_1pSIF dataset size: 1766831\n",
      "[INFO]: FXIa_Round6_Linker7_0pSIF dataset size: 1583405\n",
      "[INFO]: FXIa_Round6_Linker7_10pSIF dataset size: 1413944\n",
      "[INFO]: FXIa_Round6_Linker7_1pSIF dataset size: 1837551\n",
      "[INFO]: -----------------------------------------------------------------\n",
      "[INFO]: Queuing <fetch_region> op. . .\n",
      "[INFO]: The operation took 1.422 s\n",
      "[INFO]: FXIa_Round2_Linker7 dataset size: 2291655\n",
      "[INFO]: FXIa_Round3_Linker7 dataset size: 1521217\n",
      "[INFO]: FXIa_Round5_Linker7_0pSIF dataset size: 1632841\n",
      "[INFO]: FXIa_Round5_Linker7_10pSIF dataset size: 1693723\n",
      "[INFO]: FXIa_Round5_Linker7_1pSIF dataset size: 1766831\n",
      "[INFO]: FXIa_Round6_Linker7_0pSIF dataset size: 1583405\n",
      "[INFO]: FXIa_Round6_Linker7_10pSIF dataset size: 1413944\n",
      "[INFO]: FXIa_Round6_Linker7_1pSIF dataset size: 1837551\n",
      "[INFO]: -----------------------------------------------------------------\n",
      "[INFO]: Queuing <filter_ambiguous> op. . .\n",
      "[INFO]: The operation took 45.494 s\n",
      "[INFO]: FXIa_Round2_Linker7 dataset size: 2291655\n",
      "[INFO]: FXIa_Round3_Linker7 dataset size: 1521217\n",
      "[INFO]: FXIa_Round5_Linker7_0pSIF dataset size: 1632841\n",
      "[INFO]: FXIa_Round5_Linker7_10pSIF dataset size: 1693723\n",
      "[INFO]: FXIa_Round5_Linker7_1pSIF dataset size: 1766831\n",
      "[INFO]: FXIa_Round6_Linker7_0pSIF dataset size: 1583405\n",
      "[INFO]: FXIa_Round6_Linker7_10pSIF dataset size: 1413944\n",
      "[INFO]: FXIa_Round6_Linker7_1pSIF dataset size: 1837551\n",
      "[INFO]: -----------------------------------------------------------------\n",
      "[INFO]: Queuing <sequence_level_convergence_summary> op. . .\n",
      "[INFO]: The operation took 51.812 s\n",
      "[INFO]: FXIa_Round2_Linker7 dataset size: 2291655\n",
      "[INFO]: FXIa_Round3_Linker7 dataset size: 1521217\n",
      "[INFO]: FXIa_Round5_Linker7_0pSIF dataset size: 1632841\n",
      "[INFO]: FXIa_Round5_Linker7_10pSIF dataset size: 1693723\n",
      "[INFO]: FXIa_Round5_Linker7_1pSIF dataset size: 1766831\n",
      "[INFO]: FXIa_Round6_Linker7_0pSIF dataset size: 1583405\n",
      "[INFO]: FXIa_Round6_Linker7_10pSIF dataset size: 1413944\n",
      "[INFO]: FXIa_Round6_Linker7_1pSIF dataset size: 1837551\n",
      "[INFO]: -----------------------------------------------------------------\n",
      "[INFO]: Queuing <token_level_convergence_analysis> op. . .\n",
      "[INFO]: The operation took 64.771 s\n",
      "[INFO]: FXIa_Round2_Linker7 dataset size: 2291655\n",
      "[INFO]: FXIa_Round3_Linker7 dataset size: 1521217\n",
      "[INFO]: FXIa_Round5_Linker7_0pSIF dataset size: 1632841\n",
      "[INFO]: FXIa_Round5_Linker7_10pSIF dataset size: 1693723\n",
      "[INFO]: FXIa_Round5_Linker7_1pSIF dataset size: 1766831\n",
      "[INFO]: FXIa_Round6_Linker7_0pSIF dataset size: 1583405\n",
      "[INFO]: FXIa_Round6_Linker7_10pSIF dataset size: 1413944\n",
      "[INFO]: FXIa_Round6_Linker7_1pSIF dataset size: 1837551\n",
      "[INFO]: -----------------------------------------------------------------\n",
      "[INFO]: Queuing <token_level_convergence_analysis> op. . .\n",
      "[INFO]: The operation took 116.588 s\n",
      "[INFO]: FXIa_Round2_Linker7 dataset size: 2291655\n",
      "[INFO]: FXIa_Round3_Linker7 dataset size: 1521217\n",
      "[INFO]: FXIa_Round5_Linker7_0pSIF dataset size: 1632841\n",
      "[INFO]: FXIa_Round5_Linker7_10pSIF dataset size: 1693723\n",
      "[INFO]: FXIa_Round5_Linker7_1pSIF dataset size: 1766831\n",
      "[INFO]: FXIa_Round6_Linker7_0pSIF dataset size: 1583405\n",
      "[INFO]: FXIa_Round6_Linker7_10pSIF dataset size: 1413944\n",
      "[INFO]: FXIa_Round6_Linker7_1pSIF dataset size: 1837551\n",
      "[INFO]: -----------------------------------------------------------------\n",
      "[INFO]: Queuing <unpad_data> op. . .\n",
      "[INFO]: The operation took 55.474 s\n",
      "[INFO]: FXIa_Round2_Linker7 dataset size: 2291655\n",
      "[INFO]: FXIa_Round3_Linker7 dataset size: 1521217\n",
      "[INFO]: FXIa_Round5_Linker7_0pSIF dataset size: 1632841\n",
      "[INFO]: FXIa_Round5_Linker7_10pSIF dataset size: 1693723\n",
      "[INFO]: FXIa_Round5_Linker7_1pSIF dataset size: 1766831\n",
      "[INFO]: FXIa_Round6_Linker7_0pSIF dataset size: 1583405\n",
      "[INFO]: FXIa_Round6_Linker7_10pSIF dataset size: 1413944\n",
      "[INFO]: FXIa_Round6_Linker7_1pSIF dataset size: 1837551\n",
      "[INFO]: -----------------------------------------------------------------\n",
      "[INFO]: Queuing <save_data> op. . .\n",
      "[INFO]: The operation took 0.281 s\n",
      "[INFO]: FXIa_Round2_Linker7 dataset size: 2291655\n",
      "[INFO]: FXIa_Round3_Linker7 dataset size: 1521217\n",
      "[INFO]: FXIa_Round5_Linker7_0pSIF dataset size: 1632841\n",
      "[INFO]: FXIa_Round5_Linker7_10pSIF dataset size: 1693723\n",
      "[INFO]: FXIa_Round5_Linker7_1pSIF dataset size: 1766831\n",
      "[INFO]: FXIa_Round6_Linker7_0pSIF dataset size: 1583405\n",
      "[INFO]: FXIa_Round6_Linker7_10pSIF dataset size: 1413944\n",
      "[INFO]: FXIa_Round6_Linker7_1pSIF dataset size: 1837551\n",
      "[INFO]: -----------------------------------------------------------------\n",
      "[INFO]: Queuing <fastq_count_summary> op. . .\n",
      "[INFO]: The operation took 48.228 s\n",
      "[INFO]: FXIa_Round2_Linker7 dataset size: 2291655\n",
      "[INFO]: FXIa_Round3_Linker7 dataset size: 1521217\n",
      "[INFO]: FXIa_Round5_Linker7_0pSIF dataset size: 1632841\n",
      "[INFO]: FXIa_Round5_Linker7_10pSIF dataset size: 1693723\n",
      "[INFO]: FXIa_Round5_Linker7_1pSIF dataset size: 1766831\n",
      "[INFO]: FXIa_Round6_Linker7_0pSIF dataset size: 1583405\n",
      "[INFO]: FXIa_Round6_Linker7_10pSIF dataset size: 1413944\n",
      "[INFO]: FXIa_Round6_Linker7_1pSIF dataset size: 1837551\n",
      "[INFO]: -----------------------------------------------------------------\n",
      "[INFO]: Queuing <fastq_count_summary> op. . .\n",
      "[INFO]: The operation took 48.641 s\n",
      "[INFO]: FXIa_Round2_Linker7 dataset size: 2291655\n",
      "[INFO]: FXIa_Round3_Linker7 dataset size: 1521217\n",
      "[INFO]: FXIa_Round5_Linker7_0pSIF dataset size: 1632841\n",
      "[INFO]: FXIa_Round5_Linker7_10pSIF dataset size: 1693723\n",
      "[INFO]: FXIa_Round5_Linker7_1pSIF dataset size: 1766831\n",
      "[INFO]: FXIa_Round6_Linker7_0pSIF dataset size: 1583405\n",
      "[INFO]: FXIa_Round6_Linker7_10pSIF dataset size: 1413944\n",
      "[INFO]: FXIa_Round6_Linker7_1pSIF dataset size: 1837551\n",
      "[INFO]: -----------------------------------------------------------------\n",
      "[INFO]: Queuing <fastq_count_summary> op. . .\n",
      "[INFO]: The operation took 13.118 s\n",
      "[INFO]: FXIa_Round2_Linker7 dataset size: 2291655\n",
      "[INFO]: FXIa_Round3_Linker7 dataset size: 1521217\n",
      "[INFO]: FXIa_Round5_Linker7_0pSIF dataset size: 1632841\n",
      "[INFO]: FXIa_Round5_Linker7_10pSIF dataset size: 1693723\n",
      "[INFO]: FXIa_Round5_Linker7_1pSIF dataset size: 1766831\n",
      "[INFO]: FXIa_Round6_Linker7_0pSIF dataset size: 1583405\n",
      "[INFO]: FXIa_Round6_Linker7_10pSIF dataset size: 1413944\n",
      "[INFO]: FXIa_Round6_Linker7_1pSIF dataset size: 1837551\n",
      "[INFO]: -----------------------------------------------------------------\n",
      "[INFO]: Queuing <fastq_count_summary> op. . .\n",
      "[INFO]: The operation took 13.458 s\n",
      "[INFO]: FXIa_Round2_Linker7 dataset size: 2291655\n",
      "[INFO]: FXIa_Round3_Linker7 dataset size: 1521217\n",
      "[INFO]: FXIa_Round5_Linker7_0pSIF dataset size: 1632841\n",
      "[INFO]: FXIa_Round5_Linker7_10pSIF dataset size: 1693723\n",
      "[INFO]: FXIa_Round5_Linker7_1pSIF dataset size: 1766831\n",
      "[INFO]: FXIa_Round6_Linker7_0pSIF dataset size: 1583405\n",
      "[INFO]: FXIa_Round6_Linker7_10pSIF dataset size: 1413944\n",
      "[INFO]: FXIa_Round6_Linker7_1pSIF dataset size: 1837551\n",
      "[INFO]: -----------------------------------------------------------------\n",
      "[INFO]: Queuing <library_design_summary> op. . .\n",
      "[INFO]: The operation took 0.344 s\n",
      "[INFO]: FXIa_Round2_Linker7 dataset size: 2291655\n",
      "[INFO]: FXIa_Round3_Linker7 dataset size: 1521217\n",
      "[INFO]: FXIa_Round5_Linker7_0pSIF dataset size: 1632841\n",
      "[INFO]: FXIa_Round5_Linker7_10pSIF dataset size: 1693723\n",
      "[INFO]: FXIa_Round5_Linker7_1pSIF dataset size: 1766831\n",
      "[INFO]: FXIa_Round6_Linker7_0pSIF dataset size: 1583405\n",
      "[INFO]: FXIa_Round6_Linker7_10pSIF dataset size: 1413944\n",
      "[INFO]: FXIa_Round6_Linker7_1pSIF dataset size: 1837551\n",
      "[INFO]: -----------------------------------------------------------------\n",
      "[INFO]: Queuing <joint_dataset_count_summary> op. . .\n",
      "[INFO]: The operation took 4.283 s\n",
      "[INFO]: FXIa_Round2_Linker7 dataset size: 2291655\n",
      "[INFO]: FXIa_Round3_Linker7 dataset size: 1521217\n",
      "[INFO]: FXIa_Round5_Linker7_0pSIF dataset size: 1632841\n",
      "[INFO]: FXIa_Round5_Linker7_10pSIF dataset size: 1693723\n",
      "[INFO]: FXIa_Round5_Linker7_1pSIF dataset size: 1766831\n",
      "[INFO]: FXIa_Round6_Linker7_0pSIF dataset size: 1583405\n",
      "[INFO]: FXIa_Round6_Linker7_10pSIF dataset size: 1413944\n",
      "[INFO]: FXIa_Round6_Linker7_1pSIF dataset size: 1837551\n",
      "[INFO]: -----------------------------------------------------------------\n",
      "[INFO]: Queuing <umap_hdbscan_summary> op. . .\n",
      "[INFO]: The operation took 392.241 s\n",
      "[INFO]: FXIa_Round2_Linker7 dataset size: 1000\n",
      "[INFO]: FXIa_Round3_Linker7 dataset size: 1000\n",
      "[INFO]: FXIa_Round5_Linker7_0pSIF dataset size: 1000\n",
      "[INFO]: FXIa_Round5_Linker7_10pSIF dataset size: 1000\n",
      "[INFO]: FXIa_Round5_Linker7_1pSIF dataset size: 1000\n",
      "[INFO]: FXIa_Round6_Linker7_0pSIF dataset size: 1000\n",
      "[INFO]: FXIa_Round6_Linker7_10pSIF dataset size: 1000\n",
      "[INFO]: FXIa_Round6_Linker7_1pSIF dataset size: 1000\n",
      "[INFO]: -----------------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "\"\"\"run everything from the specified folder together in memory\"\"\"\n",
    "loader = C.data_loader.fetch_fastq_from_dir(data_dir=\"./sequencing_data/Heinis_FXIa\")\n",
    "data = C.pipeline.load_and_run(loader=loader, save_summary=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "87705a85-2afc-47a0-b7da-9ec7e9ae2ba6",
   "metadata": {},
   "source": [
    "That's it: all pipeline outputs were written to a directory specified in the config file (`.outputs/Heinis_FXIa` in this case). The code below highlights certain outputs, but isn't integral to the pipeline.\n",
    "\n",
    "The `INFO` logger stream above is summarized in a pipeline summary file because we ran it with `save_summary=True`. It is saved in the `logs` folder as specified in the config file. We can load the resulting summary here:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "480c3d92-5905-4324-935a-bef7272e59fe",
   "metadata": {},
   "outputs": [],
   "source": [
    "from pathlib import Path\n",
    "\n",
    "import pandas as pd\n",
    "\n",
    "out_dir = C.fastq_parser.dirs.logs\n",
    "exp_name = C.fastq_parser.exp_name\n",
    "\n",
    "fname = next(Path(out_dir).glob(f\"{exp_name}_pipeline_summary*.csv\"))\n",
    "summary = pd.read_csv(fname)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "6b27de3f-89ef-423a-8ab0-a2ad48d54597",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "        vertical-align: top;\n",
       "    }\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>elapsed time, s</th>\n",
       "      <th>FXIa_Round2_Linker7</th>\n",
       "      <th>FXIa_Round6_Linker7_10pSIF</th>\n",
       "      <th>FXIa_Round6_Linker7_1pSIF</th>\n",
       "      <th>FXIa_Round5_Linker7_1pSIF</th>\n",
       "      <th>FXIa_Round6_Linker7_0pSIF</th>\n",
       "      <th>FXIa_Round5_Linker7_10pSIF</th>\n",
       "      <th>FXIa_Round5_Linker7_0pSIF</th>\n",
       "      <th>FXIa_Round3_Linker7</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>fetch_dir_fastq</td>\n",
       "      <td>30.495</td>\n",
       "      <td>2928254.0</td>\n",
       "      <td>1755820.0</td>\n",
       "      <td>2256214.0</td>\n",
       "      <td>2163954.0</td>\n",
       "      <td>1973700.0</td>\n",
       "      <td>2072144.0</td>\n",
       "      <td>2007008.0</td>\n",
       "      <td>2335880.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>trim_exp</td>\n",
       "      <td>35.055</td>\n",
       "      <td>2928254.0</td>\n",
       "      <td>1755820.0</td>\n",
       "      <td>2256214.0</td>\n",
       "      <td>2163954.0</td>\n",
       "      <td>1973700.0</td>\n",
       "      <td>2072144.0</td>\n",
       "      <td>2007008.0</td>\n",
       "      <td>2335880.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>translate_dna</td>\n",
       "      <td>81.158</td>\n",
       "      <td>2928254.0</td>\n",
       "      <td>1755820.0</td>\n",
       "      <td>2256214.0</td>\n",
       "      <td>2163954.0</td>\n",
       "      <td>1973700.0</td>\n",
       "      <td>2072144.0</td>\n",
       "      <td>2007008.0</td>\n",
       "      <td>2335880.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>length_summary</td>\n",
       "      <td>9.014</td>\n",
       "      <td>2928254.0</td>\n",
       "      <td>1755820.0</td>\n",
       "      <td>2256214.0</td>\n",
       "      <td>2163954.0</td>\n",
       "      <td>1973700.0</td>\n",
       "      <td>2072144.0</td>\n",
       "      <td>2007008.0</td>\n",
       "      <td>2335880.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>length_summary</td>\n",
       "      <td>29.245</td>\n",
       "      <td>2928254.0</td>\n",
       "      <td>1755820.0</td>\n",
       "      <td>2256214.0</td>\n",
       "      <td>2163954.0</td>\n",
       "      <td>1973700.0</td>\n",
       "      <td>2072144.0</td>\n",
       "      <td>2007008.0</td>\n",
       "      <td>2335880.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>q_score_summary</td>\n",
       "      <td>51.637</td>\n",
       "      <td>2928254.0</td>\n",
       "      <td>1755820.0</td>\n",
       "      <td>2256214.0</td>\n",
       "      <td>2163954.0</td>\n",
       "      <td>1973700.0</td>\n",
       "      <td>2072144.0</td>\n",
       "      <td>2007008.0</td>\n",
       "      <td>2335880.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>fastq_count_summary</td>\n",
       "      <td>9.000</td>\n",
       "      <td>2928254.0</td>\n",
       "      <td>1755820.0</td>\n",
       "      <td>2256214.0</td>\n",
       "      <td>2163954.0</td>\n",
       "      <td>1973700.0</td>\n",
       "      <td>2072144.0</td>\n",
       "      <td>2007008.0</td>\n",
       "      <td>2335880.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>length_filter</td>\n",
       "      <td>9.904</td>\n",
       "      <td>2546300.0</td>\n",
       "      <td>1717148.0</td>\n",
       "      <td>2204474.0</td>\n",
       "      <td>2114460.0</td>\n",
       "      <td>1925594.0</td>\n",
       "      <td>2024024.0</td>\n",
       "      <td>1960558.0</td>\n",
       "      <td>1874623.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>constant_region_filter</td>\n",
       "      <td>3.729</td>\n",
       "      <td>2529394.0</td>\n",
       "      <td>1707891.0</td>\n",
       "      <td>2193803.0</td>\n",
       "      <td>2104087.0</td>\n",
       "      <td>1916184.0</td>\n",
       "      <td>2012821.0</td>\n",
       "      <td>1950872.0</td>\n",
       "      <td>1847468.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>variable_region_filter</td>\n",
       "      <td>41.707</td>\n",
       "      <td>2472978.0</td>\n",
       "      <td>1641830.0</td>\n",
       "      <td>2112352.0</td>\n",
       "      <td>2026216.0</td>\n",
       "      <td>1839521.0</td>\n",
       "      <td>1936452.0</td>\n",
       "      <td>1874875.0</td>\n",
       "      <td>1779595.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>q_score_filter</td>\n",
       "      <td>8.009</td>\n",
       "      <td>2291655.0</td>\n",
       "      <td>1413944.0</td>\n",
       "      <td>1837551.0</td>\n",
       "      <td>1766831.0</td>\n",
       "      <td>1583405.0</td>\n",
       "      <td>1693723.0</td>\n",
       "      <td>1632841.0</td>\n",
       "      <td>1521217.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>fetch_region</td>\n",
       "      <td>1.422</td>\n",
       "      <td>2291655.0</td>\n",
       "      <td>1413944.0</td>\n",
       "      <td>1837551.0</td>\n",
       "      <td>1766831.0</td>\n",
       "      <td>1583405.0</td>\n",
       "      <td>1693723.0</td>\n",
       "      <td>1632841.0</td>\n",
       "      <td>1521217.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>filter_ambiguous</td>\n",
       "      <td>45.494</td>\n",
       "      <td>2291655.0</td>\n",
       "      <td>1413944.0</td>\n",
       "      <td>1837551.0</td>\n",
       "      <td>1766831.0</td>\n",
       "      <td>1583405.0</td>\n",
       "      <td>1693723.0</td>\n",
       "      <td>1632841.0</td>\n",
       "      <td>1521217.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>sequence_level_convergence_summary</td>\n",
       "      <td>51.812</td>\n",
       "      <td>2291655.0</td>\n",
       "      <td>1413944.0</td>\n",
       "      <td>1837551.0</td>\n",
       "      <td>1766831.0</td>\n",
       "      <td>1583405.0</td>\n",
       "      <td>1693723.0</td>\n",
       "      <td>1632841.0</td>\n",
       "      <td>1521217.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>token_level_convergence_analysis</td>\n",
       "      <td>64.771</td>\n",
       "      <td>2291655.0</td>\n",
       "      <td>1413944.0</td>\n",
       "      <td>1837551.0</td>\n",
       "      <td>1766831.0</td>\n",
       "      <td>1583405.0</td>\n",
       "      <td>1693723.0</td>\n",
       "      <td>1632841.0</td>\n",
       "      <td>1521217.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>token_level_convergence_analysis</td>\n",
       "      <td>116.588</td>\n",
       "      <td>2291655.0</td>\n",
       "      <td>1413944.0</td>\n",
       "      <td>1837551.0</td>\n",
       "      <td>1766831.0</td>\n",
       "      <td>1583405.0</td>\n",
       "      <td>1693723.0</td>\n",
       "      <td>1632841.0</td>\n",
       "      <td>1521217.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>unpad_data</td>\n",
       "      <td>55.474</td>\n",
       "      <td>2291655.0</td>\n",
       "      <td>1413944.0</td>\n",
       "      <td>1837551.0</td>\n",
       "      <td>1766831.0</td>\n",
       "      <td>1583405.0</td>\n",
       "      <td>1693723.0</td>\n",
       "      <td>1632841.0</td>\n",
       "      <td>1521217.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>save_data</td>\n",
       "      <td>0.281</td>\n",
       "      <td>2291655.0</td>\n",
       "      <td>1413944.0</td>\n",
       "      <td>1837551.0</td>\n",
       "      <td>1766831.0</td>\n",
       "      <td>1583405.0</td>\n",
       "      <td>1693723.0</td>\n",
       "      <td>1632841.0</td>\n",
       "      <td>1521217.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>fastq_count_summary</td>\n",
       "      <td>48.228</td>\n",
       "      <td>2291655.0</td>\n",
       "      <td>1413944.0</td>\n",
       "      <td>1837551.0</td>\n",
       "      <td>1766831.0</td>\n",
       "      <td>1583405.0</td>\n",
       "      <td>1693723.0</td>\n",
       "      <td>1632841.0</td>\n",
       "      <td>1521217.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>fastq_count_summary</td>\n",
       "      <td>48.641</td>\n",
       "      <td>2291655.0</td>\n",
       "      <td>1413944.0</td>\n",
       "      <td>1837551.0</td>\n",
       "      <td>1766831.0</td>\n",
       "      <td>1583405.0</td>\n",
       "      <td>1693723.0</td>\n",
       "      <td>1632841.0</td>\n",
       "      <td>1521217.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>fastq_count_summary</td>\n",
       "      <td>13.118</td>\n",
       "      <td>2291655.0</td>\n",
       "      <td>1413944.0</td>\n",
       "      <td>1837551.0</td>\n",
       "      <td>1766831.0</td>\n",
       "      <td>1583405.0</td>\n",
       "      <td>1693723.0</td>\n",
       "      <td>1632841.0</td>\n",
       "      <td>1521217.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>fastq_count_summary</td>\n",
       "      <td>13.458</td>\n",
       "      <td>2291655.0</td>\n",
       "      <td>1413944.0</td>\n",
       "      <td>1837551.0</td>\n",
       "      <td>1766831.0</td>\n",
       "      <td>1583405.0</td>\n",
       "      <td>1693723.0</td>\n",
       "      <td>1632841.0</td>\n",
       "      <td>1521217.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>library_design_summary</td>\n",
       "      <td>0.344</td>\n",
       "      <td>2291655.0</td>\n",
       "      <td>1413944.0</td>\n",
       "      <td>1837551.0</td>\n",
       "      <td>1766831.0</td>\n",
       "      <td>1583405.0</td>\n",
       "      <td>1693723.0</td>\n",
       "      <td>1632841.0</td>\n",
       "      <td>1521217.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>joint_dataset_count_summary</td>\n",
       "      <td>4.283</td>\n",
       "      <td>2291655.0</td>\n",
       "      <td>1413944.0</td>\n",
       "      <td>1837551.0</td>\n",
       "      <td>1766831.0</td>\n",
       "      <td>1583405.0</td>\n",
       "      <td>1693723.0</td>\n",
       "      <td>1632841.0</td>\n",
       "      <td>1521217.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>umap_hdbscan_summary</td>\n",
       "      <td>392.241</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>1000.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            Unnamed: 0  elapsed time, s  FXIa_Round2_Linker7  \\\n",
       "0                                  NaN              NaN                  0.0   \n",
       "1                      fetch_dir_fastq           30.495            2928254.0   \n",
       "2                             trim_exp           35.055            2928254.0   \n",
       "3                        translate_dna           81.158            2928254.0   \n",
       "4                       length_summary            9.014            2928254.0   \n",
       "5                       length_summary           29.245            2928254.0   \n",
       "6                      q_score_summary           51.637            2928254.0   \n",
       "7                  fastq_count_summary            9.000            2928254.0   \n",
       "8                        length_filter            9.904            2546300.0   \n",
       "9               constant_region_filter            3.729            2529394.0   \n",
       "10              variable_region_filter           41.707            2472978.0   \n",
       "11                      q_score_filter            8.009            2291655.0   \n",
       "12                        fetch_region            1.422            2291655.0   \n",
       "13                    filter_ambiguous           45.494            2291655.0   \n",
       "14  sequence_level_convergence_summary           51.812            2291655.0   \n",
       "15    token_level_convergence_analysis           64.771            2291655.0   \n",
       "16    token_level_convergence_analysis          116.588            2291655.0   \n",
       "17                          unpad_data           55.474            2291655.0   \n",
       "18                           save_data            0.281            2291655.0   \n",
       "19                 fastq_count_summary           48.228            2291655.0   \n",
       "20                 fastq_count_summary           48.641            2291655.0   \n",
       "21                 fastq_count_summary           13.118            2291655.0   \n",
       "22                 fastq_count_summary           13.458            2291655.0   \n",
       "23              library_design_summary            0.344            2291655.0   \n",
       "24         joint_dataset_count_summary            4.283            2291655.0   \n",
       "25                umap_hdbscan_summary          392.241               1000.0   \n",
       "\n",
       "    FXIa_Round6_Linker7_10pSIF  FXIa_Round6_Linker7_1pSIF  \\\n",
       "0                          0.0                        0.0   \n",
       "1                    1755820.0                  2256214.0   \n",
       "2                    1755820.0                  2256214.0   \n",
       "3                    1755820.0                  2256214.0   \n",
       "4                    1755820.0                  2256214.0   \n",
       "5                    1755820.0                  2256214.0   \n",
       "6                    1755820.0                  2256214.0   \n",
       "7                    1755820.0                  2256214.0   \n",
       "8                    1717148.0                  2204474.0   \n",
       "9                    1707891.0                  2193803.0   \n",
       "10                   1641830.0                  2112352.0   \n",
       "11                   1413944.0                  1837551.0   \n",
       "12                   1413944.0                  1837551.0   \n",
       "13                   1413944.0                  1837551.0   \n",
       "14                   1413944.0                  1837551.0   \n",
       "15                   1413944.0                  1837551.0   \n",
       "16                   1413944.0                  1837551.0   \n",
       "17                   1413944.0                  1837551.0   \n",
       "18                   1413944.0                  1837551.0   \n",
       "19                   1413944.0                  1837551.0   \n",
       "20                   1413944.0                  1837551.0   \n",
       "21                   1413944.0                  1837551.0   \n",
       "22                   1413944.0                  1837551.0   \n",
       "23                   1413944.0                  1837551.0   \n",
       "24                   1413944.0                  1837551.0   \n",
       "25                      1000.0                     1000.0   \n",
       "\n",
       "    FXIa_Round5_Linker7_1pSIF  FXIa_Round6_Linker7_0pSIF  \\\n",
       "0                         0.0                        0.0   \n",
       "1                   2163954.0                  1973700.0   \n",
       "2                   2163954.0                  1973700.0   \n",
       "3                   2163954.0                  1973700.0   \n",
       "4                   2163954.0                  1973700.0   \n",
       "5                   2163954.0                  1973700.0   \n",
       "6                   2163954.0                  1973700.0   \n",
       "7                   2163954.0                  1973700.0   \n",
       "8                   2114460.0                  1925594.0   \n",
       "9                   2104087.0                  1916184.0   \n",
       "10                  2026216.0                  1839521.0   \n",
       "11                  1766831.0                  1583405.0   \n",
       "12                  1766831.0                  1583405.0   \n",
       "13                  1766831.0                  1583405.0   \n",
       "14                  1766831.0                  1583405.0   \n",
       "15                  1766831.0                  1583405.0   \n",
       "16                  1766831.0                  1583405.0   \n",
       "17                  1766831.0                  1583405.0   \n",
       "18                  1766831.0                  1583405.0   \n",
       "19                  1766831.0                  1583405.0   \n",
       "20                  1766831.0                  1583405.0   \n",
       "21                  1766831.0                  1583405.0   \n",
       "22                  1766831.0                  1583405.0   \n",
       "23                  1766831.0                  1583405.0   \n",
       "24                  1766831.0                  1583405.0   \n",
       "25                     1000.0                     1000.0   \n",
       "\n",
       "    FXIa_Round5_Linker7_10pSIF  FXIa_Round5_Linker7_0pSIF  FXIa_Round3_Linker7  \n",
       "0                          0.0                        0.0                  0.0  \n",
       "1                    2072144.0                  2007008.0            2335880.0  \n",
       "2                    2072144.0                  2007008.0            2335880.0  \n",
       "3                    2072144.0                  2007008.0            2335880.0  \n",
       "4                    2072144.0                  2007008.0            2335880.0  \n",
       "5                    2072144.0                  2007008.0            2335880.0  \n",
       "6                    2072144.0                  2007008.0            2335880.0  \n",
       "7                    2072144.0                  2007008.0            2335880.0  \n",
       "8                    2024024.0                  1960558.0            1874623.0  \n",
       "9                    2012821.0                  1950872.0            1847468.0  \n",
       "10                   1936452.0                  1874875.0            1779595.0  \n",
       "11                   1693723.0                  1632841.0            1521217.0  \n",
       "12                   1693723.0                  1632841.0            1521217.0  \n",
       "13                   1693723.0                  1632841.0            1521217.0  \n",
       "14                   1693723.0                  1632841.0            1521217.0  \n",
       "15                   1693723.0                  1632841.0            1521217.0  \n",
       "16                   1693723.0                  1632841.0            1521217.0  \n",
       "17                   1693723.0                  1632841.0            1521217.0  \n",
       "18                   1693723.0                  1632841.0            1521217.0  \n",
       "19                   1693723.0                  1632841.0            1521217.0  \n",
       "20                   1693723.0                  1632841.0            1521217.0  \n",
       "21                   1693723.0                  1632841.0            1521217.0  \n",
       "22                   1693723.0                  1632841.0            1521217.0  \n",
       "23                   1693723.0                  1632841.0            1521217.0  \n",
       "24                   1693723.0                  1632841.0            1521217.0  \n",
       "25                      1000.0                     1000.0               1000.0  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "summary"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7298cb74-45c4-4132-8187-23a914b0eec1",
   "metadata": {},
   "source": [
    "The numbers in the cells are read counts after the corresponding operation is completed. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "5ae9e68b-6685-488e-a77b-96fb06bff42a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The entire pipeline took: 19.42 min\n"
     ]
    }
   ],
   "source": [
    "print(f\"The entire pipeline took: {summary['elapsed time, s'].sum() / 60:.2f} min\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c96a3ef5-ed05-4269-a48d-ff4e61611b6c",
   "metadata": {},
   "source": [
    "We can similarly take a look at other tables/plots that were generated. For example, the distribution of peptide (ORF) lengths in the initial dataset is as follows."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "e9dd4025-bf67-4f06-a062-28563bfe2cdd",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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hkksuCVtvvXXIhIkTJ4Z77rknPP/882HatGnF3medddYJ3bt3D3/9619Du3btVo23bt06/Pjjj6uW99lnn+SxXp34tf322y9lrEWLFmHChAllmvtWW22VzL+wDz74IOy7776l3tYXX3wRHnroofDyyy8nAaHVqVevXrL9k08+OZxyyimhZs3SFf6O32vR5+7mm29OHtvC38O9994b3nrrrbBkyZJitxMDJfHxPu2005K51K5d/rfF4vPTv3//8Nprr4W5c+eu9n4xsHTIIYeE8847Lxx22GHlOq6+//778D//8z/hxRdfTEIeqxO/v86dO4fjjjsunH322clrsjJ7//33Q79+/cLrr7+e/AxYnRgWPPDAA0PPnj3DkUceWer9FHfMxZ81p5566qrlQYMGhQceeCB89NFHSchmdWHNOI8zzzwzmUd5f5bGoNL9998fXnjhhdW+1uKxFfd5+eWXh4MOOmjVeAzNffXVV2v8GVLc913UgAEDkltha/sZtjrxmI3fzzvvvJMEHVf3Gt5///3Dn/70p3D44YeXeh8AAADkP+3hAAAAoJqLFVmKisGaRx55JGP7iBeeTzjhhHDAAQckF9C32GKLJMxSWo899lgSYLn44ovDZ599tsbA0srvI14Yj9Vu/vjHPybVUMoqhmF69eqVVFK67777VhtYihYvXhz+/ve/h5122inceuutoSqJVX2OPvropKJNDI+tKbAULVq0KAkTnX766aFDhw7J/zMlVuuK7Qfj6+vVV19dbWApWrp0afjnP/8Zfv/73yfPS6xUU1ax0k+sahNDHs8888waA0tRnNfgwYOTAF2c65gxY8r0vcbwUdu2bZPAzJoCSysr8nz44YfhoosuCr/73e/C008/HSqjWMWrS5cuyc+OGNhZU2Apmj9/fhIqOuqoo5LQVtEKb+Xx008/JXOJr7kYulldYCmKQZz4mozhxRjai+uWRdzO+eefn/zcjD+T1/Rai1XPYgjo4IMPDscee+xaj81ciBWVevTokRwHMfC4usDSytdw/H7icXPooYcW28oUAACAyk1oCQAAAKq5eFG9uKozMewQK4zkg3hhO1aMOeuss5KKTaUVQyMx6BFbNsVWTqUV2zDttdde4W9/+9sagzHFBWViRaBzzjknVAVvv/12EjyKYYOyVouJFVNipaTyihWjYnAqBlRK6+uvv06ez1gtqrRila2439jSqixiVZrY9mro0KElXie2QOzYsWN49NFHk2BKWR6rWGEqVnqKQZDK4sknn0we648//rhM6//73/8Oe++9dxJ2LK8vv/wy7LzzzmWaS6zIFH/2lLZCWgwIxvUefvjhNQakijNw4MCw5557JtvIF7GFYvx+XnrppTL97Nltt93WGtYDAACgctEeDgAAAKq5Zs2aJa2UYpurooGbWB0ntgCLlY1iuCm2PMq2hQsXJq211hTyiJWbNttss6R6U6yANH78+KTCT3GtteJF81hxJ1YuKYlYuSVWeSncXqmw2PYptqGL+583b15S3Sn+W1iskLLllluGyiyGg2K1rPi6KE587LfZZpukBeCCBQuSiiqTJ09Ou1+sjnXdddclAY4YwimLWDErtsEaN25c2tdatmwZmjdvnuwnhnXiPFb3vJ500klJJZ/Yvq0kbrzxxnDDDTes9uuxBVvcfzymYrWt7777rthqN/H1EV/TMQATqz6tLXgTq8zE+a6u7V183GO7xbjPGOoo2gJwpdheLR4bscVaJtrjVaQYMozV0dbUBi4edxtttFHyeojhnOICjfH1GsOOkyZNSl53ZREfz0svvTTMmDEj7diPldfi8x1/3sT7ra4CW3xeYpWvWP2qJGJVofga/+GHH1bbCi62m4yv9fjaiMdC0Upy8fUXqy7F10WuxUphMShY9HiIj2F8/cafnzEQGitSrS5oFX9mxJ9BMQQGAABAFVEAAAAAVHvTp08v2HTTTWOvtdXeGjRoUHDMMccUPPLIIwXjxo3L2mN2xhlnFDufxo0bF9x0000F48ePT1vn119/LRg0aFBBp06dil23ZcuWBbNnzy7R/k8++eRit1GnTp2CXr16FUyYMCHl/kuWLCl45ZVXCnbYYYeU+9eqVaugfv36KWP77LPPGvf9wQcfpO23RYsWBWUV1y26vbiPtRk9enTy/Bf3OBx44IEFb775ZsGiRYuKXe/qq68uWHfddYtd97777lvrvuPzW3S9unXrpiw3bdq0oE+fPgX//e9/09b/5ptvCs4666zVvq7vvvvuEj12L7300mq30bFjx4KBAwcWLFiwIGWd5cuXF/zzn/8s2H333Ytdb7vttkteq6szderUgubNmxe7bnxtv/jiiwXz589PWy++JuPjscEGGxS77qWXXlqQDWV9vcX7xOOl6Lo1atQo6NGjR8HHH39csHTp0rT1vvjii4Lzzz9/tevG47Ik+17b623rrbcu6Nu3b8GMGTPS1v/kk08Kjj766NW+VuLraG1WrFhRcPDBBxe7/nrrrVdw2223FUyZMiVlnWXLlhW8++67yc+UNf0cX93PkLlz5yZzX3kr7pg5/PDDU+4Tb6NGjSrRY1j0Fl/X8diLv3uK+vbbbwtOO+201a4bf7YDAABQNQgtAQAAAInPPvusoFGjRmu92LzytvnmmxeceOKJBffff3/B8OHDk4BGpg0YMKDYfR9yyCHFXuwu7uJ/vDBes2bNtG3EYMHaxDBOcfuPIZkvv/xyjevG8NKf/vSnNT6GlSG0FEM122+/fbHhiWeeeaZE+40hmg4dOhQb/Pr8889LHVoqfOvWrVux4ZGi4lyLex20a9durevGQMfGG29c7P5vueWWtb72Y6DkvPPOK3b9O++8s9h14jYPOOCAYh+zu+66q6Ak4uNS3Dbi7eWXXy6oaGV5vcWg1iabbFLsMRdDOSXx1VdfFWy55ZZp24ghrokTJ65x3bUFbs4888w1Bs1WiqGx1b1e16Z///7FrhuPw59++mmt6997771JSGt130NJfoZcf/31aev9/ve/LyiJtT2GMXg2Z86ctW7nnnvuKXb9o446qkTzAAAAIP/VzHWlJwAAACA/dOrUKQwZMiRpb1USsd3S888/n7Rwii2uNtxww3DEEUeE++67L2lLVF6x3dIVV1yRNt6tW7ekvVVsh7U2sfVQbOv0xBNPFNvu7LPPPlvj+tdcc03a2HrrrZc8TmtrLxfbdt17773hsssuC5XZww8/nLRQK9oG7bXXXgsnn3xyibbRokWLpC1W0VZosXXXtddeW+a5denSJbz00kuhcePGa71vnOs555yTNv7NN98kLf3W5M477yy29Vh8fv/yl78krbrWpFatWkmbxdjuq7htLFu2LG385ZdfDu+9917a63nAgAElfk3Fx+WNN94Ihx12WLGv7fiBxnxz6623hqlTp6aMxZ8t8Zgr7vErzg477JC01SvakjG2T7vtttvKPLfYTjC2NCxJm8xevXolbf2Kevfdd8Ovv/662vViK7fYhrCo2EItHkOxFeba/OlPfwr/+7//G/JRbDP6wgsvhEaNGq31vpdcckno2rVr2nh8HPLxtQsAAEDpCS0BAAAAq8Qgzpdffplc9K5du3apHpl58+YlQZZ4oblNmzZh2223TQIdY8eOLdMj/OSTT4bp06enjDVr1iw8++yzSQikNE477bTkVtTtt9++2nU++eST5LEoKoYe4vdXUnEfO++8c6iMYpgmhtCKuvnmm8M+++xTqm3FkMJzzz2X9rp66623wsiRI0s9txjg6d+/fxIOK6niQmjRV199tcbHoLgASAwCxeOkNPN98MEH0wJOMfwXAzbFBaWKOv/885PgTGnUrVs3PPXUU0nwp7DRo0cnx2s+mTVrVnjsscfSxvv161eqYy7abLPNwuOPP542HgOMRX+ulEQMK/bt27dU68Sff8WFkr7//vvVrvOPf/wj/Pzzzylj8edd/HlYknDeSmeffXY48cQTQz5p2LBhcsyuLeRXWAydFhXDZxMmTMjw7AAAAMgFoSUAAAAg7cJyrP4yZsyYpKJLDAr9f+3dCbSUZf0H8AcVRQQV3BDJJVlMMA0XEDUTVNIkUzIzLEUzzag0rLQ6aFnYsbTQjEolzSVTW7RQAZfccgFB1MQNSEBQRBYXFFH5n997/nRg5r33zsy9d5jb/XzOmaM+M+/2vM87nnPne36/SsT2o0ePTr169UrDhg1Ls2bNKmv7vLDM2WefnTp27FjR+fzgBz/IrWbzyiuv5H4+gh6Funbtmk4//fSyjhshnaiy0xJFNao5c+asNbb11ltn1bUqEUG2Y445JjeUUq6oYhPVZ8oRVWqi6lOhutZAmDBhQu77lVTsiWchr1pQYUWlyZMnZ6G5NUU469xzz02ViLDLaaedlltFq5ZEFaPCKkS777577popxcCBA9O+++5bVMEtqlWVK0KPpVQHWlO/fv1yQ3X1rbe8czv66KNT//79U7kuvvjissOnzenEE08sK3gV9t9//9w5LAx2AQAA0DIJLQEAAAC5dtxxx3TRRRell156Kd15551ZVZlyQyLhgw8+yKoj9enTJzeIlCeqz0QlmLwf7ysVgZk4h8Jzu//++3M/P3HixNzgQjlVQlbbZ599GmwnV4sisFMo2jVFe7hKDR06NLfdU7kOOeSQio7fvXv3orE333yzzs/nrYO99torC9NUYsSIEWnkyJFZUOvuu+/O1nphO7C8eY/wRgTGmnLeH3jggewZqBV5192YZ35dr7cI2xS2qKtvvcV4tMErlNfWsBTbbrttOvLII1OtOPzww8veJr5r8lqWvvbaa010VgAAAKxLQksAAABAvaI10aBBg7LqS88991x68cUXsxZLw4cPTzvvvHPJs/f2229nreNiu2i5VZ+8INGWW26ZGwAoxwEHHFA0dt999xWNLViwIM2cObNo/NBDD6342OW29aoFefehsa3u8u5BBNTKDSFEcKgSeZVe3n333To/n7c+GrMOhgwZkrV+iyDKQQcdlLUxq8a89+3bN7Vv376opePjjz+eakF8Jzz88MNVWW8PPvhg2WGtaqy3OK/C78YI7ZTbinFNRxxxRKoVH/vYxyrabvPNN8/9/wkAAAAtX+3UBwYAAABahAgOnXDCCdkrzJ8/P6sYE69JkyZllWPqE4GnjTfeuN6Waf/617+KxiJwkRdqKEdeq6SpU6cWjT3zzDO52zemWtLee++dWpJFixZlIbVCixcvbvR9iPu/Zuhg1apVadq0abmt0+qS1+atFHlVouoK0cV55a2FCAA1lzhmYWu4EG3TGjvvXbp0KWrTGOu/Oa+nVNOnTy9qDbc6QNiY6162bFnR2NKlS7N5yKu6lSeqq0VrweZebzEHhaKiV157tJb2vdOuXbuKK4XFtoVWrlzZBGcFAADAuia0BAAAADRK165d0/HHH5+9Vv/wftNNN6Urr7wyvfzyy7nbjB07Nguo1NX6ae7cuUVjc+bMSfvuu2+zhHMKFQY7Vld66ty5c9WrjKwrdYXPRo0alb2aWt59qM9mm21W0XHy2vtFUChPBPLeeeedovFddtklNZcI2bzxxhu5z0y81vW8N5e8Zz6ccsopzXK8uO5SQ0ubbrppxccpZ7298MILRWPlVLPL06tXr1QLKn1e61LXHAIAANCyaA8HAAAANKmoDPLjH/84Cxldeumldf7gf9ZZZ6X3338/972o5lMtecfKq87S2B/do8XRhhtumFqKat6DSo7XsWPH1NzqalnX1AGMljTvrfG6q7HWwsKFC5t8rUV1uQ4dOqR1La/iFAAAAAgtAQAAAM0iWhqNGDEiTZkyJW233XZF78+ePTtNmDAhd9slS5ZU7a7kHWv58uVNWm2lGmGXplbNe1DJ8fIq2DS1vHZlTbUWWuq8t8brrsZaq2u9NUXgqDnXa6natGmzrk8BAACAGiS0BAAAADRry50ePXqkm2++OfdH6/Hjx+dus2LFiqrdlffee69orH379s0yN3n7rVXVvAdh5cqVVT1erWqt895ar7sw6Fno7bffbnFzCwAAAKXawFQBAABA6/TUU0+lCy64IL3yyitZW6J4vf7669krWgo1pf79+6eDDz44TZo0aa3xqVOn1tlKrdCxxx6bbrjhhlQNnTt3LhqLeWmsN998M61LdbXjK/UehBkzZqRddtkltQadOnXKHY+10FzVa+qa99tvvz198pOfTP+r6rruCO20a9cutQbN9b3TFPsAAACA5iC0BAAAAK3U4sWL0/XXX180/swzz6Q+ffo0+fEGDhxYFFqKoFSpP94vXbo0rcuwSlO0r2qK8MAHH3xQ8bbvvPNOyZ/NuwfVvg+1HFpqLq113uu77i5duqTWYIsttigai1BpYyxbtqwmq0oBAABA0B4OAAAAWqm6ggCFwaLm/EG+rgDO1ltvXTT20ksvpWrZaaedckNL8+fPr3ifcf7lhgfyWuqVUy2pcK7LCV7l3YNq34daCNKsv/76RePPPfdco/b77rvv1vucrLfeeq1u3q23lHbdddeieZk+fXqj5vXxxx9v1PYAAADQnISWAAAAoJXq3r176tixY9H4Nddc0yzHy6sYsuWWW+Z+dq+99ioae/rpp6vW5igqTW222WZF41OmTKl4n5VsmxeYWb58eUXHX7BgQVmBpwhu5QXNHnroodRatG3bNu22225NGgR54403Uvv27VO3bt3Sxz/+8XTCCSek8847779VsOKYu+++e6ub9759++aGtf7Xr3tN++23X+735rx58yreZ2O+swAAAKC5CS0BAABAKxUBgQMOOKBofNq0aekf//hHkx/vjjvuKBrbY489cj8bYY68SkF33XVXo87h1FNPTXvuuWcaOnRo+ta3vpUuueSSdPfdd+fOzYABA4rGb7nlloqPnXechmy00UZFYxHcqqRFXLlBm6jytP/++zd5Ja6oUhSBuUGDBqWTTz45/ehHP0p/+MMfGt0Gq5pBksasw8mTJ2fhsaicdP/992fX/tvf/ja1a9eu3vV/77331luhqSHRZq1Xr17pwAMPzIJSo0aNSuPGjUuzZ89OtWDzzTfPDYg1dr3deeed2XUPHjw4e/5Hjx6dtcWM8Fit6d27d25Q8IYbbqh4n3/84x8beVYAAADQfISWAAAAoBU7/vjjc8e/+tWvNmmI5J///Gd68MEHi8YPPvjg3M9/9KMfzf3xPkJGlYqQyFVXXZWmTp2a/vKXv6Rf/OIX6Zvf/Ga66aabcj//qU99qmjsT3/6U0XVnqKKzrXXXlv2dnnVniKwVEmbuttvv73sbQYOHFg09sQTT2QBmkqNGTMmzZw5MwtxRWjm3HPPTcOHD6+47V1zywsQxVqeNWtWRfu7+eabi8YKw4N5875o0aJGBVAuv/zyLDB23333ZUGp888/PwuNLVy4MNWKvOuOAGWlcx3iOY/rnjhxYvrd736Xvv/976fTTz89bbjhhqnWRFDwS1/6UtH4FVdckd57772y9/fII4+kxx57rOJzAQAAgOYmtAQAAACt2NFHH5223377ovFoRxQBgjlz5jT6GHPnzk1f/OIXi0zH5wYAAA7RSURBVMYjlPSZz3wmd5uodHTaaaflhp9uvfXWis7je9/7Xm6lmuOOOy738yeeeGLq1KnTWmNvvfVWFnoo18UXX5wWL15c9nZdu3bNHY/gSTlee+21itr+xX3r0KFD0fh3v/vdtHLlyrL3F+GRCM8Uiuo/dV3runbkkUemrbfeeq2xVatWZS3dyhXBo6jyU+izn/3sWv99+OGHpx122KHocz/84Q/TsmXLyj5urL0LLrigaPzDH/5w6tevX6oV8cwXtoiLkN63v/3tivZ3zz33pNtuuy33ey+vilktiMBoYWDo2Wefzb1/9YnvulNOOaXi89hggw2KxmLdAwAAQFMSWgIAAIBWLH64r+vH8KeffjrtvvvuWXWSSqp8hKhu0r9//ywEVeicc86pNzjwjW98Y62WWWuGieJH/HJENaWoLlNon332ya2kEzbZZJOsnVShyy67rKw2cY8++mgWNqlEBIaitVWhX/7ylyW3iIvPRXihkgpREdr6yle+klvB5Ywzzii72tQXvvCF3LDTWWedlWpVrNGozFMoQmB5VZPqE3NWGDradttt01FHHVUUGBk5cmTR9tHKLSrxlBMYi6BJtINbsmRJ0Xt5x1iXevbsmRtkjMpoF154YdlBvajgVShCUdEaslb16NEjff7zny8ajzaKUemt1MBSVNF78sknKz6PvO/m5cuXV7w/AAAAyCO0BAAAAK1cBEmOOeaY3PeWLl2aBXciOBPhpmjr1ZBXX301a2M1aNCgNHjw4NxWZhGG+vrXv17vfqK6zXe+852i8QhfDBgwIGsvVmpgKa/SU2ioesnZZ5+ddtppp6IQSMzXdddd1+CxozLUIYccklvhqVRHHHFE0djkyZOzakcNiYBMBCD++te/Vnz8uAeFlYbCr3/96zRs2LCSggyxjqLdXl6rqmiNFpWFatmIESOycFHes1NKBatofXfmmWfmrpmo3NW2bdui8S9/+ctpl112KRqPSmOHHXZYFsopJSgW4ZVosVZo5513blQlnuYS4ZyNN964aDzWe1RcKiVAubpS3Isvvlj0XqzZPn36pFoWocTOnTuvNRbXHest1kt9z1yETeO7t662l6XafPPNi8b+85//NGqfAAAAUEhoCQAAAEhXXnll6tu3b50zMWvWrKy9Wvfu3VO3bt2y0ERUn4lqSfEjegSbhg4dmvbYY4+0zTbbZD+u1xUqiuo98YP6hhtu2ODMn3vuudkP8HntrmI8wkP3339/FgopDBY99NBDWdutz33uc2nFihVF+4jQVAQb6rPZZpulG264oShUEpVuIgwSVWHiOIWeeeaZrNVVnGMlFY7WFFVyCltmhZ///OdpyJAh6fHHH88NjkXw4SMf+cha4YXCIEQp4n5GCG399dcvei9ancWa+NWvfpVefvnl3PsU70X4Jm89RDDi97//fap10cowAkeF9yHWQVQ+itBVBNQK12G8P378+CxkF/cjL7CVV8UpRHDnz3/+c1bxq9Bdd92Vzfvo0aOz6kuFoo3h1VdfnYVz8trRxbN37bXX5oal1rXevXunsWPH5r4Xa37XXXfNri2vctSCBQvST37yk2wfTzzxRNH7O+64Y+59qDUREoznJq9qWtzzaOsXQbp4LmPd3XHHHek3v/lNFnCMQOgDDzzQ6HPIa9c4ZcqU7JgAAADQVNqs0owcAAAA+P+qPFEN58EHH2y2+dhqq63SpEmTsh/WSxUBnE984hNZBZH6wkVRESnCJW+++WbWPi6q+9QlwkrxQ3+poY0IdUVVmrr+jBIhgzh+hEHmzp2bW5Ekzq2wOs6BBx6YhQ4acvLJJ6dx48bVGzCIEEsEi6Ky1fPPP1/UPi7ej6pJhe3e7rnnnmx+GxIhimjZV9cctGnTJqve06VLl6y9WYSY4j7U9fmYq7/97W9ZAK4+MZeF1a5CpX/SivaCEXopDMedd955DW570UUX1dvKLkJYEYyJcFiE1WbMmJEFiPLEXN1333254ZA1RZWs4447Ljd4t9oOO+yQ7SfaKcbzEqG5uioSxX2Klo9Ryam5xVwUVjsqdb3FWv3Zz35W5/ux1mNNR6hudXWlCFfW9x0Rwbn6wpkhnseDDjqoaH4rrTIU13rvvfeuNRZBvViHDYk1WWlryRDr4aSTTsqqoq0pnqf65irE99j2229fZxu/D33oQ9najhaW8Z1eq3MIAABAbdtgXZ8AAAAAUBviR/0IFESA48ILLyyqGtNY8SN2tNLabrvtyg46RTWjCG7cdtttdQau8ioO5YnqS+VWmYnQ0EYbbZQFPfLCIwsXLsxe9YWkouJTVF+qxMUXX5ymTZuWvfJEUCmvDd9qPXr0yKrzPPLII6lSUdklggpRYSqCYXkhohdeeCF7NWTTTTfNAkuFwYZaN3LkyCwkE+shr+VfBOVKWYdReWrChAkNBpbCUUcdlYVt4p91rbEIBuW1QssLil111VXZs1Tr4jsoKgpFRbS8AFZ8P0UoLl4NiXmOkOJuu+2WWpIILUUALoJyUbWrHPGMReAtwnOFoaUIFTYknvUIC+WFKp977rnstXpf8SyUUjkPAAAACmkPBwAAAPxXBHmi/dBTTz2Vjj322NyWYOXq1atX1mItQjPlBpbW/AH+73//e7rkkkuySj6ViEpHUTHpxhtvzAJI5YqwzsMPP5y1wCtVVLX52te+lp17JcdcM1AWlUaiVVy5IqT16KOPZiGExjryyCPT5MmTs7Z4lfr0pz+dnnzyyRYXWFpzHUT7rWjtVq5YD9EOburUqXVWsckT7eVim6gsU+kzuf/++2f7aAmBpdUi5BdzHRXJKhHzHZWGolVcSwssrRbVzeKZO/jgg0veJtpmRrWtCEvmBb6iAlMpLr/88iw0Wp/Yf31V8AAAAKA+QksAAABAbiWYCBq99NJLWVAoWnh16tSp5JmKQEaEBaJCTLTIigBUBAgaY7311suqrkRbozFjxmShl4aCQLHN3nvvnS677LJsuzinxpxHBJYee+yxdN1112VBkrr2FeMRMoj2X9FWrX379qmxOnbsmFXJmTJlSho2bFi9+4zwWbT6i/m/6aabsrZlTbk2ooJLzEO0zIu2Tw2JajFRnShCX7fccktZgZ1aFGsq7u348ePT0KFDs1BZfbbccst06qmnZkGSWIsbb7xx2ceMwF+0xIrnKYIscR8aEq274tmL9l1xvr17904tTb9+/bJqPxF6jHW/uh1cfbbddtt0xhlnZOHLCCpGYLEli3aacQ/jeqJdXHy3dOvWLQsfRYWjCCTG91FUZor1EcHMmIOQ154w1kUpov1eVHdrqIXj9OnTK7wyAAAAWrs2q6J2NwAAAEAD4k8I0YJq9uzZac6cOVlLtrfffjtrDRQhjAhu7LjjjlmYoimq+pQijh9VSBYsWJAWLVqUteeKME+EdKK11J577lnyD/SViHZd0XJt5syZWcu0CBHstNNOWVWbwnBFBI6GDx++1lhUkMlrv1SKaFMX1x4hhbj2uD9xD3r27JkFPaI6VbVES7jV5xGvaN0V5xJVWiJwEe3p/pdFtZkIk82dOzdbE7EOY/4jrBQVfiIs1NjQXp558+ZlVateffXV7BVrIuY9Qjp9+vRJu+66axbc+18T4Z145lavtxDPfDxzffv2bfGhuKYUIblo7bimIUOGpFtvvbXstRZtOuO7f/ny5dl3fqyznXfeOXvGGwruAQAAQB6hJQAAAIAqaOrQEkBDRo0alc4///yitntjx441eQAAAKxzG6zrEwAAAAAAIKWJEydm1eF69erVJG3tnn322aKxqI4EAAAAteB/rz40AAAAAEALdOmll6b99tsvay0YoaUBAwak6dOnV7SvlStXpkmTJhWNRzs3AAAAqAVCSwAAAAAANWCbbbb5778vXrw4PfTQQ+n222+vaF/XXHNNWrJkyVpjbdu2Tf3792/0eQIAAEBTEFoCAAAAAKgB/fr1Kxq74oor0ooVK8raz/z589M555xTND548ODUsWPHRp0jAAAANBWhJQAAAACAGjBkyJC03npr/8l25syZ6dRTT83avZVizpw56dBDD00LFy4sei8vyAQAAADritASAAAAAEAN6NKlSzrppJOKxq+++urUt2/fdP3116e33nord9vnn38+jRo1KvXu3Tv9+9//Lno/9jtgwIBmOW8AAACoxAYVbQUAAAAAQJP76U9/mm677basxduannrqqTRs2LC0/vrrp549e6atttoqtW3bNr3++utp1qxZ6bXXXqtzn/3790+XXXaZuwUAAEBNEVoCAAAAAKgRW2yxRbr33nvToEGDslZvhd5///00Y8aM7FWKww47LN14442pXbt2zXC2AAAAUDnt4QAAAAAAakj37t3TlClT0vDhw1ObNm0q2kenTp2y6krjx49PHTp0aPJzBAAAgMYSWgIAAAAAqDHR/m3cuHHpiSeeSGeeeWbq2rVrg9tE67j99tsvjRkzJqvSdPrpp1ccegIAAIDm1mbVqlWrmv0oAAAAAAA0yrx589K0adPSggUL0rJly9KKFSvSJptskjp37px69uyZevfunTbddFOzDAAAQIsgtAQAAAAAAAAAAFSV9nAAAAAAAAAAAEBVCS0BAAAAAAAAAABVJbQEAAAAAAAAAABUldASAAAAAAAAAABQVUJLAAAAAAAAAABAVQktAQAAAAAAAAAAVSW0BAAAAAAAAAAAVJXQEgAAAAAAAAAAUFVCSwAAAAAAAAAAQFUJLQEAAAAAAAAAAFUltAQAAAAAAAAAAFSV0BIAAAAAAAAAAFBVQksAAAAAAAAAAEBVCS0BAAAAAAAAAABVJbQEAAAAAAAAAABUldASAAAAAAAAAABQVUJLAAAAAAAAAABAVQktAQAAAAAAAAAAVSW0BAAAAAAAAAAAVJXQEgAAAAAAAAAAUFVCSwAAAAAAAAAAQFUJLQEAAAAAAAAAAFUltAQAAAAAAAAAAFSV0BIAAAAAAAAAAFBVQksAAAAAAAAAAEBVCS0BAAAAAAAAAABVJbQEAAAAAAAAAABUldASAAAAAAAAAABQVUJLAAAAAAAAAABAqqb/AyvNWgJaM4zGAAAAAElFTkSuQmCC",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "width": 800
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import Image, display\n",
    "\n",
    "# for round 6 / linker 7 / 10% SIF selection data:\n",
    "sample_name = \"FXIa_Round6_Linker7_10pSIF\"\n",
    "out_dir = Path(out_dir) / sample_name\n",
    "fname = next(Path(out_dir).glob(f\"{sample_name}_pep_L_distribution*.png\"))\n",
    "\n",
    "display(Image(filename=fname, width=800))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "281ec8f6-1f12-408c-b4fb-951624773d39",
   "metadata": {},
   "source": [
    "DNA read lengths can be looked at analogously:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "64a5d92d-58d9-4c1a-bb5a-2a0ee8251ec1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "width": 800
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fname = next(Path(out_dir).glob(f\"{sample_name}_dna_L_distribution*.png\"))\n",
    "display(Image(filename=fname, width=800))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eb15a625-efe7-443e-81f3-f72fca06113b",
   "metadata": {},
   "source": [
    "Likewise, we collected the information about average positional Q score statistics:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "386dca45-cc6b-4f56-b2fb-316839e1c713",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "width": 800
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fname = next(Path(out_dir).glob(f\"{sample_name}_q_score_summary*.png\"))\n",
    "display(Image(filename=fname, width=800))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e97129a8-55df-41f2-b3b5-2830d9c16871",
   "metadata": {},
   "source": [
    "The drop after ~56 nucleotides is likely a sequencing artifact: most real, sample-derived reads in this case are ~55-65 nt."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0e75db72-424f-4ab7-8413-65c3d40929df",
   "metadata": {},
   "source": [
    "Convergence of the library at the sequence level is shown in a percentile plot:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "27924a94-37b4-4136-b9d1-adb99b91fd6f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "width": 600
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fname = next(Path(out_dir).glob(f\"{sample_name}_pep_library_convergence*.png\"))\n",
    "display(Image(filename=fname, width=600))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a6ef6fe9-7489-40bc-8a26-7bfec1fdb94c",
   "metadata": {},
   "source": [
    "The percentile plot shows that ~50% of all unique peptide sequences only appear in this dataset once (1 read; 10<sup>0</sup> counts). By contrast, top 1 (>99.99% percentile) peptide has over 10<sup>5</sup> reads. Library convergence can be quantified using [normalized Shannon entropy](https://en.wikipedia.org/wiki/Entropy_(information_theory)#Efficiency_(normalized_entropy)) (also called \"efficiency\"): a dataset consisting of one sequence repeating N times has normalized Shannon entropy of 0 (perfectly converged). Conversely, a dataset where each sequence is unique and has 1 count has normalized Shannon entropy of 1 (perfectly random). This dataset's 0.2273 indicates strong convergence to a small pool of sequences.\n",
    "\n",
    "We also collected the information about the convergence at the token (amino acid) level in the form of a sequence logo. However, because in this paper the library was a combination of several sub-libraries of different designs, this overall, crude convergence analysis is of limited utility here:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "beed117a-52d2-4c74-b7ff-5007a0369813",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "width": 800
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fname = next(Path(out_dir).glob(f\"{sample_name}_pep_reg_overall_seq_logo*.png\"))\n",
    "display(Image(filename=fname, width=800))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bbedee88-d3b7-4ed4-9c63-0e3c0d0b67a6",
   "metadata": {},
   "source": [
    "Probably the most useful output is the count summary for peptides. We have created two of these - one before doing any data filtration, and one after."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "39c2d99c-61e7-4dc6-bee4-1a4d7e194f98",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[WindowsPath('outputs/Heinis_FXIa/FXIa_Round6_Linker7_10pSIF/FXIa_Round6_Linker7_10pSIF_pep_count_summary_2026_3_24_1_44_15.csv'),\n",
       " WindowsPath('outputs/Heinis_FXIa/FXIa_Round6_Linker7_10pSIF/FXIa_Round6_Linker7_10pSIF_pep_count_summary_2026_3_24_1_51_37.csv')]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fnames = list(Path(out_dir).glob(f\"{sample_name}_pep_count_summary*.csv\"))\n",
    "fnames"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "64fa3c0d-8c36-4c00-ab5d-23704b658397",
   "metadata": {},
   "source": [
    "All output file names are time-stamped for differentiation. Let's first take a look at the pre-filtration summary (`_2025_10_26_21_25_54` - the earlier of the two):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "91bac5c0-5492-4793-9825-4c35db6e43be",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Index</th>\n",
       "      <th>Peptide</th>\n",
       "      <th>DNA</th>\n",
       "      <th>pep count</th>\n",
       "      <th>Dataset %</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>MATCVNIMCCRCPGSG</td>\n",
       "      <td>CCAGCTGGCCATGGCGACGTGTGTGAATATTATGTGTTGTCGGTGT...</td>\n",
       "      <td>449023</td>\n",
       "      <td>25.573407</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>MAACSSCYRCPWCDGSG</td>\n",
       "      <td>CCAGCCGGCCATGGCGGCTTGTAGTAGTTGTTATCGGTGTCCGTGG...</td>\n",
       "      <td>178810</td>\n",
       "      <td>10.183846</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>MAFCENIYCCRCPGSG</td>\n",
       "      <td>CCAGCCGGCCATGGCGTTTTGTGAGAATATTTATTGTTGTAGGTGT...</td>\n",
       "      <td>118733</td>\n",
       "      <td>6.762254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>MATCYRCCSWPWICGGSG</td>\n",
       "      <td>CCAGCCGGCCATGGCGACTTGTTATCGTTGTTGTAGTTGGCCTTGG...</td>\n",
       "      <td>111333</td>\n",
       "      <td>6.340798</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>MASCYRCSCSIWHCEGSG</td>\n",
       "      <td>CCAGCCGGCCATGGCGTCTTGTTATAGGTGTTCTTGTTCTATTTGG...</td>\n",
       "      <td>103891</td>\n",
       "      <td>5.916950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>MAACTSIFCCRCPGSG</td>\n",
       "      <td>CCAGCCGGCCATGGCGGCTTGTACGAGTATTTTTTGTTGTCGTTGT...</td>\n",
       "      <td>97700</td>\n",
       "      <td>5.564352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>MATCPRCDPCYRCPGSG</td>\n",
       "      <td>CCAGCCGGCCATGGCGACTTGTCCGCGGTGTGATCCTTGTTATCGG...</td>\n",
       "      <td>39899</td>\n",
       "      <td>2.272386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>MAVCYRCQCLICHGSG</td>\n",
       "      <td>CCAGCCGGCCATGGCGGTGTGTTATCGGTGTCAGTGTCTTATTTGT...</td>\n",
       "      <td>38652</td>\n",
       "      <td>2.201365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>CCAGCCGGCCACGGCGGCTTGTAGTAGTTGTTATCGGTGTCCGTGG...</td>\n",
       "      <td>25780</td>\n",
       "      <td>1.468260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>MATCYRCCPFPWVCSGSG</td>\n",
       "      <td>CCAGCCGGCCATGGCGACTTGTTATCGGTGTTGTCCTTTTCCGTGG...</td>\n",
       "      <td>25043</td>\n",
       "      <td>1.426285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>MAFCPCYRCPWCDGSG</td>\n",
       "      <td>CCAGCCGGCCATGGCGTTTTGTCCTTGTTATAGGTGTCCCTGGTGT...</td>\n",
       "      <td>24303</td>\n",
       "      <td>1.384140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>MAVCPNIFCCRCPGSG</td>\n",
       "      <td>CCAGCCGGCCATGGCGGTTTGTCCGAATATTTTTTGTTGTAGGTGT...</td>\n",
       "      <td>23691</td>\n",
       "      <td>1.349284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13</td>\n",
       "      <td>MAECSNIFCCRCPGSG</td>\n",
       "      <td>CCAGCCGGCCATGGCGGAGTGTTCTAATATTTTTTGTTGTAGGTGT...</td>\n",
       "      <td>23564</td>\n",
       "      <td>1.342051</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14</td>\n",
       "      <td>MAGCPQCDVCYRCPGSG</td>\n",
       "      <td>CCAGCCGGCCATGGCGGGGTGTCCTCAGTGTGATGTGTGTTATCGG...</td>\n",
       "      <td>23432</td>\n",
       "      <td>1.334533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>MAACTTCYRCPWCDGSG</td>\n",
       "      <td>CCAGCCGGCCATGGCGGCTTGTACGACTTGTTATAGGTGTCCGTGG...</td>\n",
       "      <td>21935</td>\n",
       "      <td>1.249274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>MAMCFRCECARPHCAGSG</td>\n",
       "      <td>CCAGCCGGCCATGGCGATGTGTTTTCGGTGTGAGTGTGCTCGGCCT...</td>\n",
       "      <td>21138</td>\n",
       "      <td>1.203882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>MATCYRCQCATCHGSG</td>\n",
       "      <td>CCAGCCGGCCATGGCGACGTGTTATCGGTGTCAGTGTGCTACTTGT...</td>\n",
       "      <td>18463</td>\n",
       "      <td>1.051531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18</td>\n",
       "      <td>MATCFRCTCQVCHGSG</td>\n",
       "      <td>CCAGCCGGCCATGGCGACTTGTTTTCGGTGTACTTGTCAGGTGTGT...</td>\n",
       "      <td>18298</td>\n",
       "      <td>1.042134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19</td>\n",
       "      <td>MATCYRCQCYACSGSG</td>\n",
       "      <td>CCAGCCGGCCATGGCGACTTGTTATAGGTGTCAGTGTTATGCTTGT...</td>\n",
       "      <td>14626</td>\n",
       "      <td>0.833001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20</td>\n",
       "      <td>MAGCNIYCCRCPGSG</td>\n",
       "      <td>CCAGCCGGCCATGGCGGGGTGTAATATTTATTGTTGTCGTTGTCCG...</td>\n",
       "      <td>13707</td>\n",
       "      <td>0.780661</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Index             Peptide  \\\n",
       "0       1    MATCVNIMCCRCPGSG   \n",
       "1       2   MAACSSCYRCPWCDGSG   \n",
       "2       3    MAFCENIYCCRCPGSG   \n",
       "3       4  MATCYRCCSWPWICGGSG   \n",
       "4       5  MASCYRCSCSIWHCEGSG   \n",
       "5       6    MAACTSIFCCRCPGSG   \n",
       "6       7   MATCPRCDPCYRCPGSG   \n",
       "7       8    MAVCYRCQCLICHGSG   \n",
       "8       9                 NaN   \n",
       "9      10  MATCYRCCPFPWVCSGSG   \n",
       "10     11    MAFCPCYRCPWCDGSG   \n",
       "11     12    MAVCPNIFCCRCPGSG   \n",
       "12     13    MAECSNIFCCRCPGSG   \n",
       "13     14   MAGCPQCDVCYRCPGSG   \n",
       "14     15   MAACTTCYRCPWCDGSG   \n",
       "15     16  MAMCFRCECARPHCAGSG   \n",
       "16     17    MATCYRCQCATCHGSG   \n",
       "17     18    MATCFRCTCQVCHGSG   \n",
       "18     19    MATCYRCQCYACSGSG   \n",
       "19     20     MAGCNIYCCRCPGSG   \n",
       "\n",
       "                                                  DNA  pep count  Dataset %  \n",
       "0   CCAGCTGGCCATGGCGACGTGTGTGAATATTATGTGTTGTCGGTGT...     449023  25.573407  \n",
       "1   CCAGCCGGCCATGGCGGCTTGTAGTAGTTGTTATCGGTGTCCGTGG...     178810  10.183846  \n",
       "2   CCAGCCGGCCATGGCGTTTTGTGAGAATATTTATTGTTGTAGGTGT...     118733   6.762254  \n",
       "3   CCAGCCGGCCATGGCGACTTGTTATCGTTGTTGTAGTTGGCCTTGG...     111333   6.340798  \n",
       "4   CCAGCCGGCCATGGCGTCTTGTTATAGGTGTTCTTGTTCTATTTGG...     103891   5.916950  \n",
       "5   CCAGCCGGCCATGGCGGCTTGTACGAGTATTTTTTGTTGTCGTTGT...      97700   5.564352  \n",
       "6   CCAGCCGGCCATGGCGACTTGTCCGCGGTGTGATCCTTGTTATCGG...      39899   2.272386  \n",
       "7   CCAGCCGGCCATGGCGGTGTGTTATCGGTGTCAGTGTCTTATTTGT...      38652   2.201365  \n",
       "8   CCAGCCGGCCACGGCGGCTTGTAGTAGTTGTTATCGGTGTCCGTGG...      25780   1.468260  \n",
       "9   CCAGCCGGCCATGGCGACTTGTTATCGGTGTTGTCCTTTTCCGTGG...      25043   1.426285  \n",
       "10  CCAGCCGGCCATGGCGTTTTGTCCTTGTTATAGGTGTCCCTGGTGT...      24303   1.384140  \n",
       "11  CCAGCCGGCCATGGCGGTTTGTCCGAATATTTTTTGTTGTAGGTGT...      23691   1.349284  \n",
       "12  CCAGCCGGCCATGGCGGAGTGTTCTAATATTTTTTGTTGTAGGTGT...      23564   1.342051  \n",
       "13  CCAGCCGGCCATGGCGGGGTGTCCTCAGTGTGATGTGTGTTATCGG...      23432   1.334533  \n",
       "14  CCAGCCGGCCATGGCGGCTTGTACGACTTGTTATAGGTGTCCGTGG...      21935   1.249274  \n",
       "15  CCAGCCGGCCATGGCGATGTGTTTTCGGTGTGAGTGTGCTCGGCCT...      21138   1.203882  \n",
       "16  CCAGCCGGCCATGGCGACGTGTTATCGGTGTCAGTGTGCTACTTGT...      18463   1.051531  \n",
       "17  CCAGCCGGCCATGGCGACTTGTTTTCGGTGTACTTGTCAGGTGTGT...      18298   1.042134  \n",
       "18  CCAGCCGGCCATGGCGACTTGTTATAGGTGTCAGTGTTATGCTTGT...      14626   0.833001  \n",
       "19  CCAGCCGGCCATGGCGGGGTGTAATATTTATTGTTGTCGTTGTCCG...      13707   0.780661  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pre = pd.read_csv(fnames[0])\n",
    "pre.head(20)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "52e2fbb8-c9e4-4b98-83c6-a06b68ee817f",
   "metadata": {},
   "source": [
    "We see full ORFs in the `Peptide` column: starting with `M` and continuing after the last `C` in the sequence. Entry 9 has no peptide associated with it: this sequence does not have an ORF that can be found with the `orf_locator` parameter specified in the config file. Compare this to the post-filtration summary:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "3c4c3c47-6ea2-43d5-a8c7-e77b3bc8ffb1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Index</th>\n",
       "      <th>Peptide</th>\n",
       "      <th>DNA</th>\n",
       "      <th>pep count</th>\n",
       "      <th>Dataset %</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>TCVNIMCCRCP</td>\n",
       "      <td>CCAGCTGGCCATGGCGACGTGTGTGAATATTATGTGTTGTCGGTGT...</td>\n",
       "      <td>394463</td>\n",
       "      <td>27.898064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>ACSSCYRCPWCD</td>\n",
       "      <td>CCAGCCGGCCATGGCGGCTTGTAGTAGTTGTTATCGGTGTCCGTGG...</td>\n",
       "      <td>155011</td>\n",
       "      <td>10.963023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>FCENIYCCRCP</td>\n",
       "      <td>CCAGCCGGCCATGGCGTTTTGTGAGAATATTTATTGTTGTAGGTGT...</td>\n",
       "      <td>105619</td>\n",
       "      <td>7.469815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>TCYRCCSWPWICG</td>\n",
       "      <td>CCAGCCGGCCATGGCGACTTGTTATCGTTGTTGTAGTTGGCCTTGG...</td>\n",
       "      <td>95442</td>\n",
       "      <td>6.750055</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>SCYRCSCSIWHCE</td>\n",
       "      <td>CCAGCCGGCCATGGCGTCTTGTTATAGGTGTTCTTGTTCTATTTGG...</td>\n",
       "      <td>90141</td>\n",
       "      <td>6.375146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>ACTSIFCCRCP</td>\n",
       "      <td>CCAGCCGGCCATGGCGGCTTGTACGAGTATTTTTTGTTGTCGTTGT...</td>\n",
       "      <td>86560</td>\n",
       "      <td>6.121883</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>TCPRCDPCYRCP</td>\n",
       "      <td>CCAGCCGGCCATGGCGACTTGTCCGCGGTGTGATCCTTGTTATCGG...</td>\n",
       "      <td>34419</td>\n",
       "      <td>2.434255</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>VCYRCQCLICH</td>\n",
       "      <td>CCAGCCGGCCATGGCGGTGTGTTATCGGTGTCAGTGTCTTATTTGT...</td>\n",
       "      <td>34314</td>\n",
       "      <td>2.426829</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>TCYRCCPFPWVCS</td>\n",
       "      <td>CCAGCCGGCCATGGCGACTTGTTATCGGTGTTGTCCTTTTCCGTGG...</td>\n",
       "      <td>21546</td>\n",
       "      <td>1.523823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>FCPCYRCPWCD</td>\n",
       "      <td>CCAGCCGGCCATGGCGTTTTGTCCTTGTTATAGGTGTCCCTGGTGT...</td>\n",
       "      <td>21456</td>\n",
       "      <td>1.517458</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>VCPNIFCCRCP</td>\n",
       "      <td>CCAGCCGGCCATGGCGGTTTGTCCGAATATTTTTTGTTGTAGGTGT...</td>\n",
       "      <td>21076</td>\n",
       "      <td>1.490582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>ECSNIFCCRCP</td>\n",
       "      <td>CCAGCCGGCCATGGCGGAGTGTTCTAATATTTTTTGTTGTAGGTGT...</td>\n",
       "      <td>21009</td>\n",
       "      <td>1.485844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13</td>\n",
       "      <td>GCPQCDVCYRCP</td>\n",
       "      <td>CCAGCCGGCCATGGCGGGGTGTCCTCAGTGTGATGTGTGTTATCGG...</td>\n",
       "      <td>20341</td>\n",
       "      <td>1.438600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14</td>\n",
       "      <td>ACTTCYRCPWCD</td>\n",
       "      <td>CCAGCCGGCCATGGCGGCTTGTACGACTTGTTATAGGTGTCCGTGG...</td>\n",
       "      <td>18829</td>\n",
       "      <td>1.331665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>MCFRCECARPHCA</td>\n",
       "      <td>CCAGCCGGCCATGGCGATGTGTTTTCGGTGTGAGTGTGCTCGGCCT...</td>\n",
       "      <td>18339</td>\n",
       "      <td>1.297010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>TCYRCQCATCH</td>\n",
       "      <td>CCAGCCGGCCATGGCGACGTGTTATCGGTGTCAGTGTGCTACTTGT...</td>\n",
       "      <td>16410</td>\n",
       "      <td>1.160583</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>TCFRCTCQVCH</td>\n",
       "      <td>CCAGCCGGCCATGGCGACTTGTTTTCGGTGTACTTGTCAGGTGTGT...</td>\n",
       "      <td>16328</td>\n",
       "      <td>1.154784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18</td>\n",
       "      <td>TCYRCQCYACS</td>\n",
       "      <td>CCAGCCGGCCATGGCGACTTGTTATAGGTGTCAGTGTTATGCTTGT...</td>\n",
       "      <td>12926</td>\n",
       "      <td>0.914180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19</td>\n",
       "      <td>GCNIYCCRCP</td>\n",
       "      <td>CCAGCCGGCCATGGCGGGGTGTAATATTTATTGTTGTCGTTGTCCG...</td>\n",
       "      <td>12265</td>\n",
       "      <td>0.867432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20</td>\n",
       "      <td>KCFDCCYRCP</td>\n",
       "      <td>CCAGCCGGCCATGGCGAAGTGTTTTGATTGTTGTTATCGTTGTCCT...</td>\n",
       "      <td>11722</td>\n",
       "      <td>0.829029</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Index        Peptide                                                DNA  \\\n",
       "0       1    TCVNIMCCRCP  CCAGCTGGCCATGGCGACGTGTGTGAATATTATGTGTTGTCGGTGT...   \n",
       "1       2   ACSSCYRCPWCD  CCAGCCGGCCATGGCGGCTTGTAGTAGTTGTTATCGGTGTCCGTGG...   \n",
       "2       3    FCENIYCCRCP  CCAGCCGGCCATGGCGTTTTGTGAGAATATTTATTGTTGTAGGTGT...   \n",
       "3       4  TCYRCCSWPWICG  CCAGCCGGCCATGGCGACTTGTTATCGTTGTTGTAGTTGGCCTTGG...   \n",
       "4       5  SCYRCSCSIWHCE  CCAGCCGGCCATGGCGTCTTGTTATAGGTGTTCTTGTTCTATTTGG...   \n",
       "5       6    ACTSIFCCRCP  CCAGCCGGCCATGGCGGCTTGTACGAGTATTTTTTGTTGTCGTTGT...   \n",
       "6       7   TCPRCDPCYRCP  CCAGCCGGCCATGGCGACTTGTCCGCGGTGTGATCCTTGTTATCGG...   \n",
       "7       8    VCYRCQCLICH  CCAGCCGGCCATGGCGGTGTGTTATCGGTGTCAGTGTCTTATTTGT...   \n",
       "8       9  TCYRCCPFPWVCS  CCAGCCGGCCATGGCGACTTGTTATCGGTGTTGTCCTTTTCCGTGG...   \n",
       "9      10    FCPCYRCPWCD  CCAGCCGGCCATGGCGTTTTGTCCTTGTTATAGGTGTCCCTGGTGT...   \n",
       "10     11    VCPNIFCCRCP  CCAGCCGGCCATGGCGGTTTGTCCGAATATTTTTTGTTGTAGGTGT...   \n",
       "11     12    ECSNIFCCRCP  CCAGCCGGCCATGGCGGAGTGTTCTAATATTTTTTGTTGTAGGTGT...   \n",
       "12     13   GCPQCDVCYRCP  CCAGCCGGCCATGGCGGGGTGTCCTCAGTGTGATGTGTGTTATCGG...   \n",
       "13     14   ACTTCYRCPWCD  CCAGCCGGCCATGGCGGCTTGTACGACTTGTTATAGGTGTCCGTGG...   \n",
       "14     15  MCFRCECARPHCA  CCAGCCGGCCATGGCGATGTGTTTTCGGTGTGAGTGTGCTCGGCCT...   \n",
       "15     16    TCYRCQCATCH  CCAGCCGGCCATGGCGACGTGTTATCGGTGTCAGTGTGCTACTTGT...   \n",
       "16     17    TCFRCTCQVCH  CCAGCCGGCCATGGCGACTTGTTTTCGGTGTACTTGTCAGGTGTGT...   \n",
       "17     18    TCYRCQCYACS  CCAGCCGGCCATGGCGACTTGTTATAGGTGTCAGTGTTATGCTTGT...   \n",
       "18     19     GCNIYCCRCP  CCAGCCGGCCATGGCGGGGTGTAATATTTATTGTTGTCGTTGTCCG...   \n",
       "19     20     KCFDCCYRCP  CCAGCCGGCCATGGCGAAGTGTTTTGATTGTTGTTATCGTTGTCCT...   \n",
       "\n",
       "    pep count  Dataset %  \n",
       "0      394463  27.898064  \n",
       "1      155011  10.963023  \n",
       "2      105619   7.469815  \n",
       "3       95442   6.750055  \n",
       "4       90141   6.375146  \n",
       "5       86560   6.121883  \n",
       "6       34419   2.434255  \n",
       "7       34314   2.426829  \n",
       "8       21546   1.523823  \n",
       "9       21456   1.517458  \n",
       "10      21076   1.490582  \n",
       "11      21009   1.485844  \n",
       "12      20341   1.438600  \n",
       "13      18829   1.331665  \n",
       "14      18339   1.297010  \n",
       "15      16410   1.160583  \n",
       "16      16328   1.154784  \n",
       "17      12926   0.914180  \n",
       "18      12265   0.867432  \n",
       "19      11722   0.829029  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pre = pd.read_csv(fnames[1])\n",
    "pre.head(20)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a4d0278e-1dbe-4f13-8e9a-3137043b3e6e",
   "metadata": {},
   "source": [
    "The empty ORF entry is gone. Peptide sequences have been truncated to only show random insert regions (`C.fastq_parser.fetch_at(where='pep', loc=[1])` from above). Read counts are consistently lower in the post-filtration summary: primarily, because some good reads were discarded due to insufficiently high Q scores (`C.fastq_parser.q_score_filt(minQ=30, loc=[1])`). If this is an issue – consider lowering the `minQ` threshold, replacing it with `avgQ` (in which case, we would discard all reads where `loc=[1]` DNA has average Q scores below `avgQ`), or skipping `q_score_filt` altogether if it is not critical.\n",
    "\n",
    "Our `Dataset %` values are close, but not identical, to the values reported in the original publication. For example, the publication reports 28.8% abundance for peptide `TCVNIMCCRCP`, while we see only 27.9%; or 11.5% vs 11.0% for `ACSSCYRCPWCD`. Evidently, the authors' parsing criteria or the order of operations were slightly different from ours. Nonetheless, our results are largely consistent.\n",
    "\n",
    "We have also created a joint peptide count summary to track how peptide abundances change from round to round:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "53309bee-3a3d-47ef-a736-790b6427f7e6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pep sequence</th>\n",
       "      <th>FXIa_Round2_Linker7</th>\n",
       "      <th>FXIa_Round3_Linker7</th>\n",
       "      <th>FXIa_Round5_Linker7_0pSIF</th>\n",
       "      <th>FXIa_Round5_Linker7_10pSIF</th>\n",
       "      <th>FXIa_Round5_Linker7_1pSIF</th>\n",
       "      <th>FXIa_Round6_Linker7_0pSIF</th>\n",
       "      <th>FXIa_Round6_Linker7_10pSIF</th>\n",
       "      <th>FXIa_Round6_Linker7_1pSIF</th>\n",
       "      <th>Total counts</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>SCYRCSCSIWHCE</td>\n",
       "      <td>331.0</td>\n",
       "      <td>583.0</td>\n",
       "      <td>361636.0</td>\n",
       "      <td>274664.0</td>\n",
       "      <td>438963.0</td>\n",
       "      <td>240801.0</td>\n",
       "      <td>90141.0</td>\n",
       "      <td>422775.0</td>\n",
       "      <td>1829894.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>TCVNIMCCRCP</td>\n",
       "      <td>2322.0</td>\n",
       "      <td>2307.0</td>\n",
       "      <td>77785.0</td>\n",
       "      <td>253110.0</td>\n",
       "      <td>115892.0</td>\n",
       "      <td>74222.0</td>\n",
       "      <td>394463.0</td>\n",
       "      <td>143711.0</td>\n",
       "      <td>1063812.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ACSSCYRCPWCD</td>\n",
       "      <td>1863.0</td>\n",
       "      <td>1689.0</td>\n",
       "      <td>115878.0</td>\n",
       "      <td>178082.0</td>\n",
       "      <td>165211.0</td>\n",
       "      <td>103390.0</td>\n",
       "      <td>155011.0</td>\n",
       "      <td>237717.0</td>\n",
       "      <td>958841.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>FCENIYCCRCP</td>\n",
       "      <td>2343.0</td>\n",
       "      <td>1951.0</td>\n",
       "      <td>105235.0</td>\n",
       "      <td>156640.0</td>\n",
       "      <td>107240.0</td>\n",
       "      <td>117554.0</td>\n",
       "      <td>105619.0</td>\n",
       "      <td>105430.0</td>\n",
       "      <td>702012.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>TCARCSCAVAHCG</td>\n",
       "      <td>222.0</td>\n",
       "      <td>129.0</td>\n",
       "      <td>53233.0</td>\n",
       "      <td>677.0</td>\n",
       "      <td>40471.0</td>\n",
       "      <td>113110.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>73421.0</td>\n",
       "      <td>281283.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>ACTTCYRCPWCD</td>\n",
       "      <td>756.0</td>\n",
       "      <td>774.0</td>\n",
       "      <td>45125.0</td>\n",
       "      <td>41031.0</td>\n",
       "      <td>61926.0</td>\n",
       "      <td>37359.0</td>\n",
       "      <td>18829.0</td>\n",
       "      <td>73229.0</td>\n",
       "      <td>279029.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>ACTSIFCCRCP</td>\n",
       "      <td>1553.0</td>\n",
       "      <td>1374.0</td>\n",
       "      <td>21519.0</td>\n",
       "      <td>77615.0</td>\n",
       "      <td>35853.0</td>\n",
       "      <td>14641.0</td>\n",
       "      <td>86560.0</td>\n",
       "      <td>38124.0</td>\n",
       "      <td>277239.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>TCYRCCSWPWICG</td>\n",
       "      <td>191.0</td>\n",
       "      <td>181.0</td>\n",
       "      <td>21449.0</td>\n",
       "      <td>44788.0</td>\n",
       "      <td>28355.0</td>\n",
       "      <td>24872.0</td>\n",
       "      <td>95442.0</td>\n",
       "      <td>60284.0</td>\n",
       "      <td>275562.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>LCFRCCVFPWDCE</td>\n",
       "      <td>1017.0</td>\n",
       "      <td>755.0</td>\n",
       "      <td>69581.0</td>\n",
       "      <td>7231.0</td>\n",
       "      <td>30206.0</td>\n",
       "      <td>99424.0</td>\n",
       "      <td>1354.0</td>\n",
       "      <td>23667.0</td>\n",
       "      <td>233235.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>SCSSAMCDRCPWCD</td>\n",
       "      <td>54.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>52855.0</td>\n",
       "      <td>341.0</td>\n",
       "      <td>6755.0</td>\n",
       "      <td>150351.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5908.0</td>\n",
       "      <td>216299.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>KCFDCCYRCP</td>\n",
       "      <td>36013.0</td>\n",
       "      <td>62454.0</td>\n",
       "      <td>3082.0</td>\n",
       "      <td>28981.0</td>\n",
       "      <td>10190.0</td>\n",
       "      <td>528.0</td>\n",
       "      <td>11722.0</td>\n",
       "      <td>3324.0</td>\n",
       "      <td>156294.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>VCPNIFCCRCP</td>\n",
       "      <td>877.0</td>\n",
       "      <td>601.0</td>\n",
       "      <td>22097.0</td>\n",
       "      <td>30859.0</td>\n",
       "      <td>27586.0</td>\n",
       "      <td>18564.0</td>\n",
       "      <td>21076.0</td>\n",
       "      <td>33161.0</td>\n",
       "      <td>154821.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>TCFRCCNILSSCV</td>\n",
       "      <td>787.0</td>\n",
       "      <td>525.0</td>\n",
       "      <td>43440.0</td>\n",
       "      <td>900.0</td>\n",
       "      <td>28752.0</td>\n",
       "      <td>51014.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>21824.0</td>\n",
       "      <td>147279.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>VCYRCQCLICH</td>\n",
       "      <td>261.0</td>\n",
       "      <td>175.0</td>\n",
       "      <td>12677.0</td>\n",
       "      <td>23239.0</td>\n",
       "      <td>19791.0</td>\n",
       "      <td>12060.0</td>\n",
       "      <td>34314.0</td>\n",
       "      <td>32803.0</td>\n",
       "      <td>135320.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>FCGGFMCDRCCP</td>\n",
       "      <td>1658.0</td>\n",
       "      <td>1184.0</td>\n",
       "      <td>35773.0</td>\n",
       "      <td>871.0</td>\n",
       "      <td>37685.0</td>\n",
       "      <td>25781.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>25222.0</td>\n",
       "      <td>128229.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>SCYRCCSWMDVCN</td>\n",
       "      <td>83.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>27967.0</td>\n",
       "      <td>321.0</td>\n",
       "      <td>11547.0</td>\n",
       "      <td>67172.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>20440.0</td>\n",
       "      <td>127607.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>TCPRCDPCYRCP</td>\n",
       "      <td>2124.0</td>\n",
       "      <td>2752.0</td>\n",
       "      <td>9504.0</td>\n",
       "      <td>38445.0</td>\n",
       "      <td>18897.0</td>\n",
       "      <td>5645.0</td>\n",
       "      <td>34419.0</td>\n",
       "      <td>14751.0</td>\n",
       "      <td>126537.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>MCFRCECARPHCA</td>\n",
       "      <td>285.0</td>\n",
       "      <td>214.0</td>\n",
       "      <td>16451.0</td>\n",
       "      <td>23878.0</td>\n",
       "      <td>22997.0</td>\n",
       "      <td>13749.0</td>\n",
       "      <td>18339.0</td>\n",
       "      <td>25524.0</td>\n",
       "      <td>121437.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>ACNLCWRCPWCD</td>\n",
       "      <td>238.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>33001.0</td>\n",
       "      <td>175.0</td>\n",
       "      <td>3667.0</td>\n",
       "      <td>73982.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2975.0</td>\n",
       "      <td>114132.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>FCYRCQCSYCH</td>\n",
       "      <td>393.0</td>\n",
       "      <td>371.0</td>\n",
       "      <td>20976.0</td>\n",
       "      <td>12256.0</td>\n",
       "      <td>22965.0</td>\n",
       "      <td>11456.0</td>\n",
       "      <td>7643.0</td>\n",
       "      <td>23949.0</td>\n",
       "      <td>100009.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      pep sequence  FXIa_Round2_Linker7  FXIa_Round3_Linker7  \\\n",
       "0    SCYRCSCSIWHCE                331.0                583.0   \n",
       "1      TCVNIMCCRCP               2322.0               2307.0   \n",
       "2     ACSSCYRCPWCD               1863.0               1689.0   \n",
       "3      FCENIYCCRCP               2343.0               1951.0   \n",
       "4    TCARCSCAVAHCG                222.0                129.0   \n",
       "5     ACTTCYRCPWCD                756.0                774.0   \n",
       "6      ACTSIFCCRCP               1553.0               1374.0   \n",
       "7    TCYRCCSWPWICG                191.0                181.0   \n",
       "8    LCFRCCVFPWDCE               1017.0                755.0   \n",
       "9   SCSSAMCDRCPWCD                 54.0                 28.0   \n",
       "10      KCFDCCYRCP              36013.0              62454.0   \n",
       "11     VCPNIFCCRCP                877.0                601.0   \n",
       "12   TCFRCCNILSSCV                787.0                525.0   \n",
       "13     VCYRCQCLICH                261.0                175.0   \n",
       "14    FCGGFMCDRCCP               1658.0               1184.0   \n",
       "15   SCYRCCSWMDVCN                 83.0                 74.0   \n",
       "16    TCPRCDPCYRCP               2124.0               2752.0   \n",
       "17   MCFRCECARPHCA                285.0                214.0   \n",
       "18    ACNLCWRCPWCD                238.0                 91.0   \n",
       "19     FCYRCQCSYCH                393.0                371.0   \n",
       "\n",
       "    FXIa_Round5_Linker7_0pSIF  FXIa_Round5_Linker7_10pSIF  \\\n",
       "0                    361636.0                    274664.0   \n",
       "1                     77785.0                    253110.0   \n",
       "2                    115878.0                    178082.0   \n",
       "3                    105235.0                    156640.0   \n",
       "4                     53233.0                       677.0   \n",
       "5                     45125.0                     41031.0   \n",
       "6                     21519.0                     77615.0   \n",
       "7                     21449.0                     44788.0   \n",
       "8                     69581.0                      7231.0   \n",
       "9                     52855.0                       341.0   \n",
       "10                     3082.0                     28981.0   \n",
       "11                    22097.0                     30859.0   \n",
       "12                    43440.0                       900.0   \n",
       "13                    12677.0                     23239.0   \n",
       "14                    35773.0                       871.0   \n",
       "15                    27967.0                       321.0   \n",
       "16                     9504.0                     38445.0   \n",
       "17                    16451.0                     23878.0   \n",
       "18                    33001.0                       175.0   \n",
       "19                    20976.0                     12256.0   \n",
       "\n",
       "    FXIa_Round5_Linker7_1pSIF  FXIa_Round6_Linker7_0pSIF  \\\n",
       "0                    438963.0                   240801.0   \n",
       "1                    115892.0                    74222.0   \n",
       "2                    165211.0                   103390.0   \n",
       "3                    107240.0                   117554.0   \n",
       "4                     40471.0                   113110.0   \n",
       "5                     61926.0                    37359.0   \n",
       "6                     35853.0                    14641.0   \n",
       "7                     28355.0                    24872.0   \n",
       "8                     30206.0                    99424.0   \n",
       "9                      6755.0                   150351.0   \n",
       "10                    10190.0                      528.0   \n",
       "11                    27586.0                    18564.0   \n",
       "12                    28752.0                    51014.0   \n",
       "13                    19791.0                    12060.0   \n",
       "14                    37685.0                    25781.0   \n",
       "15                    11547.0                    67172.0   \n",
       "16                    18897.0                     5645.0   \n",
       "17                    22997.0                    13749.0   \n",
       "18                     3667.0                    73982.0   \n",
       "19                    22965.0                    11456.0   \n",
       "\n",
       "    FXIa_Round6_Linker7_10pSIF  FXIa_Round6_Linker7_1pSIF  Total counts  \n",
       "0                      90141.0                   422775.0     1829894.0  \n",
       "1                     394463.0                   143711.0     1063812.0  \n",
       "2                     155011.0                   237717.0      958841.0  \n",
       "3                     105619.0                   105430.0      702012.0  \n",
       "4                         20.0                    73421.0      281283.0  \n",
       "5                      18829.0                    73229.0      279029.0  \n",
       "6                      86560.0                    38124.0      277239.0  \n",
       "7                      95442.0                    60284.0      275562.0  \n",
       "8                       1354.0                    23667.0      233235.0  \n",
       "9                          7.0                     5908.0      216299.0  \n",
       "10                     11722.0                     3324.0      156294.0  \n",
       "11                     21076.0                    33161.0      154821.0  \n",
       "12                        37.0                    21824.0      147279.0  \n",
       "13                     34314.0                    32803.0      135320.0  \n",
       "14                        55.0                    25222.0      128229.0  \n",
       "15                         3.0                    20440.0      127607.0  \n",
       "16                     34419.0                    14751.0      126537.0  \n",
       "17                     18339.0                    25524.0      121437.0  \n",
       "18                         3.0                     2975.0      114132.0  \n",
       "19                      7643.0                    23949.0      100009.0  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fname = next(\n",
    "    Path(C.fastq_parser.dirs.parser_out).glob(\n",
    "        f\"{exp_name}_joint_dataset_count_summary*.csv\"\n",
    "    )\n",
    ")\n",
    "joint = pd.read_csv(fname)\n",
    "joint.head(20)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3f6ef6d1-802c-4cc7-b6cd-08615783ac1d",
   "metadata": {},
   "source": [
    "There is also a companion file showing peptide abundances as percentages of their respective datasets instead:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "07d99585-0a22-4bae-9ff8-49a0a26edef2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pep sequence</th>\n",
       "      <th>FXIa_Round2_Linker7</th>\n",
       "      <th>FXIa_Round3_Linker7</th>\n",
       "      <th>FXIa_Round5_Linker7_0pSIF</th>\n",
       "      <th>FXIa_Round5_Linker7_10pSIF</th>\n",
       "      <th>FXIa_Round5_Linker7_1pSIF</th>\n",
       "      <th>FXIa_Round6_Linker7_0pSIF</th>\n",
       "      <th>FXIa_Round6_Linker7_10pSIF</th>\n",
       "      <th>FXIa_Round6_Linker7_1pSIF</th>\n",
       "      <th>Total counts</th>\n",
       "      <th>Fraction of total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>SCYRCSCSIWHCE</td>\n",
       "      <td>0.014444</td>\n",
       "      <td>0.038325</td>\n",
       "      <td>22.147656</td>\n",
       "      <td>16.216583</td>\n",
       "      <td>24.844651</td>\n",
       "      <td>15.207796</td>\n",
       "      <td>6.375146</td>\n",
       "      <td>23.007525</td>\n",
       "      <td>1829894.0</td>\n",
       "      <td>0.133169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>TCVNIMCCRCP</td>\n",
       "      <td>0.101324</td>\n",
       "      <td>0.151655</td>\n",
       "      <td>4.763783</td>\n",
       "      <td>14.944002</td>\n",
       "      <td>6.559314</td>\n",
       "      <td>4.687493</td>\n",
       "      <td>27.898064</td>\n",
       "      <td>7.820790</td>\n",
       "      <td>1063812.0</td>\n",
       "      <td>0.077418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ACSSCYRCPWCD</td>\n",
       "      <td>0.081295</td>\n",
       "      <td>0.111030</td>\n",
       "      <td>7.096711</td>\n",
       "      <td>10.514234</td>\n",
       "      <td>9.350696</td>\n",
       "      <td>6.529599</td>\n",
       "      <td>10.963023</td>\n",
       "      <td>12.936621</td>\n",
       "      <td>958841.0</td>\n",
       "      <td>0.069779</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>FCENIYCCRCP</td>\n",
       "      <td>0.102241</td>\n",
       "      <td>0.128253</td>\n",
       "      <td>6.444902</td>\n",
       "      <td>9.248266</td>\n",
       "      <td>6.069624</td>\n",
       "      <td>7.424127</td>\n",
       "      <td>7.469815</td>\n",
       "      <td>5.737528</td>\n",
       "      <td>702012.0</td>\n",
       "      <td>0.051088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>TCARCSCAVAHCG</td>\n",
       "      <td>0.009687</td>\n",
       "      <td>0.008480</td>\n",
       "      <td>3.260146</td>\n",
       "      <td>0.039971</td>\n",
       "      <td>2.290598</td>\n",
       "      <td>7.143466</td>\n",
       "      <td>0.001414</td>\n",
       "      <td>3.995590</td>\n",
       "      <td>281283.0</td>\n",
       "      <td>0.020470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>ACTTCYRCPWCD</td>\n",
       "      <td>0.032989</td>\n",
       "      <td>0.050880</td>\n",
       "      <td>2.763588</td>\n",
       "      <td>2.422533</td>\n",
       "      <td>3.504919</td>\n",
       "      <td>2.359409</td>\n",
       "      <td>1.331665</td>\n",
       "      <td>3.985141</td>\n",
       "      <td>279029.0</td>\n",
       "      <td>0.020306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>ACTSIFCCRCP</td>\n",
       "      <td>0.067768</td>\n",
       "      <td>0.090322</td>\n",
       "      <td>1.317887</td>\n",
       "      <td>4.582508</td>\n",
       "      <td>2.029226</td>\n",
       "      <td>0.924653</td>\n",
       "      <td>6.121883</td>\n",
       "      <td>2.074718</td>\n",
       "      <td>277239.0</td>\n",
       "      <td>0.020176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>TCYRCCSWPWICG</td>\n",
       "      <td>0.008335</td>\n",
       "      <td>0.011898</td>\n",
       "      <td>1.313600</td>\n",
       "      <td>2.644352</td>\n",
       "      <td>1.604851</td>\n",
       "      <td>1.570792</td>\n",
       "      <td>6.750055</td>\n",
       "      <td>3.280671</td>\n",
       "      <td>275562.0</td>\n",
       "      <td>0.020054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>LCFRCCVFPWDCE</td>\n",
       "      <td>0.044378</td>\n",
       "      <td>0.049631</td>\n",
       "      <td>4.261346</td>\n",
       "      <td>0.426929</td>\n",
       "      <td>1.709615</td>\n",
       "      <td>6.279126</td>\n",
       "      <td>0.095761</td>\n",
       "      <td>1.287964</td>\n",
       "      <td>233235.0</td>\n",
       "      <td>0.016973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>SCSSAMCDRCPWCD</td>\n",
       "      <td>0.002356</td>\n",
       "      <td>0.001841</td>\n",
       "      <td>3.236996</td>\n",
       "      <td>0.020133</td>\n",
       "      <td>0.382323</td>\n",
       "      <td>9.495423</td>\n",
       "      <td>0.000495</td>\n",
       "      <td>0.321515</td>\n",
       "      <td>216299.0</td>\n",
       "      <td>0.015741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>KCFDCCYRCP</td>\n",
       "      <td>1.571484</td>\n",
       "      <td>4.105529</td>\n",
       "      <td>0.188751</td>\n",
       "      <td>1.711083</td>\n",
       "      <td>0.576739</td>\n",
       "      <td>0.033346</td>\n",
       "      <td>0.829029</td>\n",
       "      <td>0.180893</td>\n",
       "      <td>156294.0</td>\n",
       "      <td>0.011374</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>VCPNIFCCRCP</td>\n",
       "      <td>0.038269</td>\n",
       "      <td>0.039508</td>\n",
       "      <td>1.353285</td>\n",
       "      <td>1.821963</td>\n",
       "      <td>1.561326</td>\n",
       "      <td>1.172410</td>\n",
       "      <td>1.490582</td>\n",
       "      <td>1.804630</td>\n",
       "      <td>154821.0</td>\n",
       "      <td>0.011267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>TCFRCCNILSSCV</td>\n",
       "      <td>0.034342</td>\n",
       "      <td>0.034512</td>\n",
       "      <td>2.660394</td>\n",
       "      <td>0.053137</td>\n",
       "      <td>1.627320</td>\n",
       "      <td>3.221791</td>\n",
       "      <td>0.002617</td>\n",
       "      <td>1.187668</td>\n",
       "      <td>147279.0</td>\n",
       "      <td>0.010718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>VCYRCQCLICH</td>\n",
       "      <td>0.011389</td>\n",
       "      <td>0.011504</td>\n",
       "      <td>0.776377</td>\n",
       "      <td>1.372066</td>\n",
       "      <td>1.120141</td>\n",
       "      <td>0.761650</td>\n",
       "      <td>2.426829</td>\n",
       "      <td>1.785148</td>\n",
       "      <td>135320.0</td>\n",
       "      <td>0.009848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>FCGGFMCDRCCP</td>\n",
       "      <td>0.072349</td>\n",
       "      <td>0.077832</td>\n",
       "      <td>2.190844</td>\n",
       "      <td>0.051425</td>\n",
       "      <td>2.132915</td>\n",
       "      <td>1.628200</td>\n",
       "      <td>0.003890</td>\n",
       "      <td>1.372588</td>\n",
       "      <td>128229.0</td>\n",
       "      <td>0.009332</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>SCYRCCSWMDVCN</td>\n",
       "      <td>0.003622</td>\n",
       "      <td>0.004865</td>\n",
       "      <td>1.712782</td>\n",
       "      <td>0.018952</td>\n",
       "      <td>0.653543</td>\n",
       "      <td>4.242250</td>\n",
       "      <td>0.000212</td>\n",
       "      <td>1.112350</td>\n",
       "      <td>127607.0</td>\n",
       "      <td>0.009286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>TCPRCDPCYRCP</td>\n",
       "      <td>0.092684</td>\n",
       "      <td>0.180908</td>\n",
       "      <td>0.582053</td>\n",
       "      <td>2.269852</td>\n",
       "      <td>1.069542</td>\n",
       "      <td>0.356510</td>\n",
       "      <td>2.434255</td>\n",
       "      <td>0.802753</td>\n",
       "      <td>126537.0</td>\n",
       "      <td>0.009209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>MCFRCECARPHCA</td>\n",
       "      <td>0.012436</td>\n",
       "      <td>0.014068</td>\n",
       "      <td>1.007508</td>\n",
       "      <td>1.409794</td>\n",
       "      <td>1.301596</td>\n",
       "      <td>0.868319</td>\n",
       "      <td>1.297010</td>\n",
       "      <td>1.389023</td>\n",
       "      <td>121437.0</td>\n",
       "      <td>0.008837</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>ACNLCWRCPWCD</td>\n",
       "      <td>0.010386</td>\n",
       "      <td>0.005982</td>\n",
       "      <td>2.021079</td>\n",
       "      <td>0.010332</td>\n",
       "      <td>0.207547</td>\n",
       "      <td>4.672336</td>\n",
       "      <td>0.000212</td>\n",
       "      <td>0.161900</td>\n",
       "      <td>114132.0</td>\n",
       "      <td>0.008306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>FCYRCQCSYCH</td>\n",
       "      <td>0.017149</td>\n",
       "      <td>0.024388</td>\n",
       "      <td>1.284632</td>\n",
       "      <td>0.723613</td>\n",
       "      <td>1.299785</td>\n",
       "      <td>0.723504</td>\n",
       "      <td>0.540545</td>\n",
       "      <td>1.303311</td>\n",
       "      <td>100009.0</td>\n",
       "      <td>0.007278</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      pep sequence  FXIa_Round2_Linker7  FXIa_Round3_Linker7  \\\n",
       "0    SCYRCSCSIWHCE             0.014444             0.038325   \n",
       "1      TCVNIMCCRCP             0.101324             0.151655   \n",
       "2     ACSSCYRCPWCD             0.081295             0.111030   \n",
       "3      FCENIYCCRCP             0.102241             0.128253   \n",
       "4    TCARCSCAVAHCG             0.009687             0.008480   \n",
       "5     ACTTCYRCPWCD             0.032989             0.050880   \n",
       "6      ACTSIFCCRCP             0.067768             0.090322   \n",
       "7    TCYRCCSWPWICG             0.008335             0.011898   \n",
       "8    LCFRCCVFPWDCE             0.044378             0.049631   \n",
       "9   SCSSAMCDRCPWCD             0.002356             0.001841   \n",
       "10      KCFDCCYRCP             1.571484             4.105529   \n",
       "11     VCPNIFCCRCP             0.038269             0.039508   \n",
       "12   TCFRCCNILSSCV             0.034342             0.034512   \n",
       "13     VCYRCQCLICH             0.011389             0.011504   \n",
       "14    FCGGFMCDRCCP             0.072349             0.077832   \n",
       "15   SCYRCCSWMDVCN             0.003622             0.004865   \n",
       "16    TCPRCDPCYRCP             0.092684             0.180908   \n",
       "17   MCFRCECARPHCA             0.012436             0.014068   \n",
       "18    ACNLCWRCPWCD             0.010386             0.005982   \n",
       "19     FCYRCQCSYCH             0.017149             0.024388   \n",
       "\n",
       "    FXIa_Round5_Linker7_0pSIF  FXIa_Round5_Linker7_10pSIF  \\\n",
       "0                   22.147656                   16.216583   \n",
       "1                    4.763783                   14.944002   \n",
       "2                    7.096711                   10.514234   \n",
       "3                    6.444902                    9.248266   \n",
       "4                    3.260146                    0.039971   \n",
       "5                    2.763588                    2.422533   \n",
       "6                    1.317887                    4.582508   \n",
       "7                    1.313600                    2.644352   \n",
       "8                    4.261346                    0.426929   \n",
       "9                    3.236996                    0.020133   \n",
       "10                   0.188751                    1.711083   \n",
       "11                   1.353285                    1.821963   \n",
       "12                   2.660394                    0.053137   \n",
       "13                   0.776377                    1.372066   \n",
       "14                   2.190844                    0.051425   \n",
       "15                   1.712782                    0.018952   \n",
       "16                   0.582053                    2.269852   \n",
       "17                   1.007508                    1.409794   \n",
       "18                   2.021079                    0.010332   \n",
       "19                   1.284632                    0.723613   \n",
       "\n",
       "    FXIa_Round5_Linker7_1pSIF  FXIa_Round6_Linker7_0pSIF  \\\n",
       "0                   24.844651                  15.207796   \n",
       "1                    6.559314                   4.687493   \n",
       "2                    9.350696                   6.529599   \n",
       "3                    6.069624                   7.424127   \n",
       "4                    2.290598                   7.143466   \n",
       "5                    3.504919                   2.359409   \n",
       "6                    2.029226                   0.924653   \n",
       "7                    1.604851                   1.570792   \n",
       "8                    1.709615                   6.279126   \n",
       "9                    0.382323                   9.495423   \n",
       "10                   0.576739                   0.033346   \n",
       "11                   1.561326                   1.172410   \n",
       "12                   1.627320                   3.221791   \n",
       "13                   1.120141                   0.761650   \n",
       "14                   2.132915                   1.628200   \n",
       "15                   0.653543                   4.242250   \n",
       "16                   1.069542                   0.356510   \n",
       "17                   1.301596                   0.868319   \n",
       "18                   0.207547                   4.672336   \n",
       "19                   1.299785                   0.723504   \n",
       "\n",
       "    FXIa_Round6_Linker7_10pSIF  FXIa_Round6_Linker7_1pSIF  Total counts  \\\n",
       "0                     6.375146                  23.007525     1829894.0   \n",
       "1                    27.898064                   7.820790     1063812.0   \n",
       "2                    10.963023                  12.936621      958841.0   \n",
       "3                     7.469815                   5.737528      702012.0   \n",
       "4                     0.001414                   3.995590      281283.0   \n",
       "5                     1.331665                   3.985141      279029.0   \n",
       "6                     6.121883                   2.074718      277239.0   \n",
       "7                     6.750055                   3.280671      275562.0   \n",
       "8                     0.095761                   1.287964      233235.0   \n",
       "9                     0.000495                   0.321515      216299.0   \n",
       "10                    0.829029                   0.180893      156294.0   \n",
       "11                    1.490582                   1.804630      154821.0   \n",
       "12                    0.002617                   1.187668      147279.0   \n",
       "13                    2.426829                   1.785148      135320.0   \n",
       "14                    0.003890                   1.372588      128229.0   \n",
       "15                    0.000212                   1.112350      127607.0   \n",
       "16                    2.434255                   0.802753      126537.0   \n",
       "17                    1.297010                   1.389023      121437.0   \n",
       "18                    0.000212                   0.161900      114132.0   \n",
       "19                    0.540545                   1.303311      100009.0   \n",
       "\n",
       "    Fraction of total  \n",
       "0            0.133169  \n",
       "1            0.077418  \n",
       "2            0.069779  \n",
       "3            0.051088  \n",
       "4            0.020470  \n",
       "5            0.020306  \n",
       "6            0.020176  \n",
       "7            0.020054  \n",
       "8            0.016973  \n",
       "9            0.015741  \n",
       "10           0.011374  \n",
       "11           0.011267  \n",
       "12           0.010718  \n",
       "13           0.009848  \n",
       "14           0.009332  \n",
       "15           0.009286  \n",
       "16           0.009209  \n",
       "17           0.008837  \n",
       "18           0.008306  \n",
       "19           0.007278  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fname = next(\n",
    "    Path(C.fastq_parser.dirs.parser_out).glob(\n",
    "        f\"{exp_name}_joint_dataset_percentage_summary*.csv\"\n",
    "    )\n",
    ")\n",
    "joint = pd.read_csv(fname)\n",
    "joint.head(20)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "57c928a5-bc5a-4491-9c60-4736df3db04e",
   "metadata": {},
   "source": [
    "Peptide `SCYRCSCSIWHCE` which came to dominate the selection after 6 rounds, had only 331 reads (0.019% of the library) after round 2."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "52e0b646-1ad6-460a-a603-7c1589c61fbe",
   "metadata": {},
   "source": [
    "Another useful piece of data is the \"by template breakdown\". If the underlying library consists of multiple templates – or unique sub-libraries – which can be distinguished from each other, then we can count how many reads belong to each sub-library, for each sample. In our case here, the final selection library consists of many sublibraries (refer to Fig. 1 in the paper) of different length. The random insert size varies from 3 to 8 amino acids (m + n + o = 3, 4, 5, 6, 7 or 8; paper Fig. 1c). These are passed as unique templates during the library design set up (see the config file setup above), and can be analyzed with the `C.fastq_parser.library_design_match(where='pep')` operation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "a2d4faf1-127d-4ce9-a1d6-5ead2bcc6f18",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>MA121111121GSG</th>\n",
       "      <th>MA1211111121GSG</th>\n",
       "      <th>MA12111111121GSG</th>\n",
       "      <th>MA121111111121GSG</th>\n",
       "      <th>MA1211111111121GSG</th>\n",
       "      <th>MA12111111111121GSG</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>FXIa_Round2_Linker7</td>\n",
       "      <td>114060</td>\n",
       "      <td>1136208</td>\n",
       "      <td>448296</td>\n",
       "      <td>387827</td>\n",
       "      <td>194987</td>\n",
       "      <td>10277</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>FXIa_Round3_Linker7</td>\n",
       "      <td>67290</td>\n",
       "      <td>897856</td>\n",
       "      <td>219152</td>\n",
       "      <td>212444</td>\n",
       "      <td>119902</td>\n",
       "      <td>4573</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>FXIa_Round5_Linker7_0pSIF</td>\n",
       "      <td>824</td>\n",
       "      <td>29050</td>\n",
       "      <td>439046</td>\n",
       "      <td>421746</td>\n",
       "      <td>681026</td>\n",
       "      <td>61149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>FXIa_Round5_Linker7_10pSIF</td>\n",
       "      <td>1824</td>\n",
       "      <td>110577</td>\n",
       "      <td>774177</td>\n",
       "      <td>386775</td>\n",
       "      <td>416643</td>\n",
       "      <td>3727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>FXIa_Round5_Linker7_1pSIF</td>\n",
       "      <td>953</td>\n",
       "      <td>53946</td>\n",
       "      <td>537877</td>\n",
       "      <td>466831</td>\n",
       "      <td>694761</td>\n",
       "      <td>12463</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>FXIa_Round6_Linker7_0pSIF</td>\n",
       "      <td>425</td>\n",
       "      <td>7922</td>\n",
       "      <td>355034</td>\n",
       "      <td>372306</td>\n",
       "      <td>686083</td>\n",
       "      <td>161635</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>FXIa_Round6_Linker7_10pSIF</td>\n",
       "      <td>1474</td>\n",
       "      <td>37657</td>\n",
       "      <td>839638</td>\n",
       "      <td>276858</td>\n",
       "      <td>257178</td>\n",
       "      <td>1139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>FXIa_Round6_Linker7_1pSIF</td>\n",
       "      <td>1101</td>\n",
       "      <td>21816</td>\n",
       "      <td>565312</td>\n",
       "      <td>495205</td>\n",
       "      <td>744027</td>\n",
       "      <td>10090</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Unnamed: 0  MA121111121GSG  MA1211111121GSG  \\\n",
       "0         FXIa_Round2_Linker7          114060          1136208   \n",
       "1         FXIa_Round3_Linker7           67290           897856   \n",
       "2   FXIa_Round5_Linker7_0pSIF             824            29050   \n",
       "3  FXIa_Round5_Linker7_10pSIF            1824           110577   \n",
       "4   FXIa_Round5_Linker7_1pSIF             953            53946   \n",
       "5   FXIa_Round6_Linker7_0pSIF             425             7922   \n",
       "6  FXIa_Round6_Linker7_10pSIF            1474            37657   \n",
       "7   FXIa_Round6_Linker7_1pSIF            1101            21816   \n",
       "\n",
       "   MA12111111121GSG  MA121111111121GSG  MA1211111111121GSG  \\\n",
       "0            448296             387827              194987   \n",
       "1            219152             212444              119902   \n",
       "2            439046             421746              681026   \n",
       "3            774177             386775              416643   \n",
       "4            537877             466831              694761   \n",
       "5            355034             372306              686083   \n",
       "6            839638             276858              257178   \n",
       "7            565312             495205              744027   \n",
       "\n",
       "   MA12111111111121GSG  \n",
       "0                10277  \n",
       "1                 4573  \n",
       "2                61149  \n",
       "3                 3727  \n",
       "4                12463  \n",
       "5               161635  \n",
       "6                 1139  \n",
       "7                10090  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fname = next(\n",
    "    Path(C.fastq_parser.dirs.parser_out).glob(f\"{exp_name}_by_template_breakdown*.csv\")\n",
    ")\n",
    "breakdown = pd.read_csv(fname)\n",
    "breakdown"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b09bb8fe-67ce-4ae7-ab38-d4b03ac85d96",
   "metadata": {},
   "source": [
    "Sample `FXIa_Round2_Linker7` has `114060` peptides of the `MA121111121GSG` design (m + n + o = 3) at the time the operation was called (after completing all filtering), and so on. Curiously, in this case, the largest insert sub-library (`MA12111111111121GSG`; m + n + o = 8) seems to be selected against."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ddeeecb8-1cc0-4cd6-aa1d-d0a1cca173e7",
   "metadata": {},
   "source": [
    "## UMAP/HDBSCAN dashboards"
   ]
  },
  {
   "attachments": {
    "db0f93d2-ceb8-4e03-b1c2-0566e338c9bf.png": {
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"
    }
   },
   "cell_type": "markdown",
   "id": "f4b9de6d-c6ee-4d56-a298-9ae074d989cd",
   "metadata": {},
   "source": [
    "Finally, we have created UMAP/HDBSCAN dashboards – one for every sample plus a combined overview because we called `umap_hdbscan_analysis` with `single_manifold=True`. These are fully interactive `.html` files containing UMAP embeddings of `top_n=1000` peptides (`where='pep'`) from each dataset. \n",
    "\n",
    "Briefly, UMAP is a dimensionality reduction technique used to project peptide sequence data into a 2D representation. The generated UMAP projections show each peptide as a point (circle) in a 2D plane as can be ssen in the `.html` plots below.\n",
    "\n",
    "The point size is proportional to that peptide's fraction in the dataset, and similar sequences appear closer to each other. The latter is the major reason why UMAP projections are useful. They provide a visual way to evaluate an entire dataset at a glance: do peptide sequences form well-defined clusters? How uniform is the data? etc. \n",
    "\n",
    "HDBSCAN is an unsupervised clustering technique run on top of UMAP projections to formalize the clustering process: it automatically detects and annotates clusters of sequences. The point color in UMAP plots then corresponds to HDBSCAN-assigned cluster number, with black representing noise (no cluster assigned). \n",
    "\n",
    "In addition to UMAP projection plots, UMAP/HDBSCAN dashboards also rank clusters by their score (the bottom-left panel). Clusters featuring peptide families with higher conservation have higher scores. Larger families also have higher cluster scores. The main use for cluster scoring is to find local families of sequences in datasets with very low or no consensus. The datasets in this example are highly converged, and this feature is less important. \n",
    "\n",
    "UMAP/HDBSCAN dashboards also show sequence conservation and WebLogo-type plots (right panels), either for the entire dataset or for any individual cluster (toggleable at the top). \n",
    "\n",
    "Overall, we found these dashboards useful for understanding dataset composition at a high level. An example snippet is shown below:\n",
    "\n",
    "![umap dashboard.png](attachment:db0f93d2-ceb8-4e03-b1c2-0566e338c9bf.png)"
   ]
  },
  {
   "attachments": {
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"
    }
   },
   "cell_type": "markdown",
   "id": "fd943052-7faa-4302-9779-695b4628a354",
   "metadata": {},
   "source": [
    "When called with `single_manifold=True`, a combined dashboard showing UMAP projections of all samples in a dataset side by side is created. By default, the process of creating UMAP projections is partially random: repeating it for one dataset produces different projections every time. This means that projections from different samples can not be directly compared to each other by default. For example, one peptide will occupy different regions of the space in each sample. However, it is possible to project (embed) multiple samples in a consistent way, which is what `single_manifold=True` does. The result is that every sequence appears in a fixed place across all samples, which enables direct cross-sample comparisons. This is the primary aim of the `single_manifold=True` keyword. We found it very useful to track the evolution of library composition over multiple rounds of selections with such UMAP projections:\n",
    "\n",
    "![common manifold.png](attachment:919a6fce-8613-4115-b256-c3e1f428d73a.png)\n",
    "\n",
    "The technique can also be used for DNA sequences if `where='dna'` is specified. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bc68cd4a-631e-4ff3-9415-76d739e694ea",
   "metadata": {},
   "source": [
    "The resulting embeddings can be extracted if the operation is run with `return_modified=True` keyword.\n",
    "Samples inside the `data` object will have `Y`, which holds UMAP projection coordinates, as an atrribute:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "5f977815-3d2d-42dc-9d05-7c8f3dc9e362",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Data container holding 8 samples>:\n",
       "<AnalysisSample FXIa_Round2_Linker7 containing 1000 entries>\n",
       "<AnalysisSample FXIa_Round3_Linker7 containing 1000 entries>\n",
       "<AnalysisSample FXIa_Round5_Linker7_0pSIF containing 1000 entries>\n",
       "<AnalysisSample FXIa_Round5_Linker7_10pSIF containing 1000 entries>\n",
       "<AnalysisSample FXIa_Round5_Linker7_1pSIF containing 1000 entries>\n",
       "<AnalysisSample FXIa_Round6_Linker7_0pSIF containing 1000 entries>\n",
       "<AnalysisSample FXIa_Round6_Linker7_10pSIF containing 1000 entries>\n",
       "<AnalysisSample FXIa_Round6_Linker7_1pSIF containing 1000 entries>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "f30ba4fa-523c-4f6f-a743-40b2c0c286d3",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-0.17979948,  1.2420613 ],\n",
       "       [ 1.0033212 , -0.48301846],\n",
       "       [ 0.8761584 , -1.184472  ],\n",
       "       ...,\n",
       "       [-0.4822519 ,  0.95126194],\n",
       "       [-2.2872915 , -0.57900304],\n",
       "       [-0.2645384 ,  0.6779868 ]], shape=(1000, 2), dtype=float32)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[0].Y"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b642eedc-4959-48cb-9a6b-17ec46b78879",
   "metadata": {},
   "source": [
    "Samples additionally hold `.C` (count) and `.labels` (cluster number) information:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "f24832dd-e8fa-4dbb-bd50-fd9d704bc5a0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([37930, 36013, 22811, 20875, 18939, 15740, 14963, 13732, 13240,\n",
       "       11569, 10335,  9956,  9399,  9064,  8998,  8862,  8312,  7546,\n",
       "        7209,  7133,  7065,  6976,  6730,  6729,  6634,  6342,  6130,\n",
       "        6071,  6064,  5928,  5920,  5881,  5758,  5721,  5698,  5667,\n",
       "        5531,  5380,  5351,  5343,  5188,  5107,  5062,  5028,  4996,\n",
       "        4983,  4904,  4678,  4658,  4654,  4602,  4573,  4566,  4558,\n",
       "        4529,  4484,  4427,  4406,  4377,  4354,  4303,  4293,  4248,\n",
       "        4215,  4150,  4106,  4104,  4022,  4011,  3950,  3921,  3913,\n",
       "        3855,  3854,  3767,  3762,  3739,  3711,  3613,  3581,  3577,\n",
       "        3551,  3488,  3476,  3467,  3412,  3366,  3356,  3325,  3318,\n",
       "        3299,  3294,  3242,  3213,  3206,  3203,  3194,  3173,  3125,\n",
       "        3081])"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[0].C[:100]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "f0a79327-3159-4e51-b15d-8beb1887538d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([3, 4, 0, 6, 2, 7, 1, 3, 7, 3, 6, 3, 2, 4, 3, 8, 2, 6, 8, 5, 2, 4,\n",
       "       1, 6, 5, 8, 5, 3, 5, 8, 2, 7, 5, 7, 4, 5, 4, 3, 3, 3, 5, 3, 8, 3,\n",
       "       3, 2, 6, 2, 4, 4, 3, 3, 3, 5, 4, 4, 6, 8, 5, 5, 7, 3, 3, 3, 4, 3,\n",
       "       7, 8, 5, 2, 2, 8, 2, 3, 4, 1, 5, 2, 3, 6, 0, 7, 5, 3, 5, 8, 3, 8,\n",
       "       6, 4, 3, 2, 3, 5, 6, 3, 5, 3, 5, 4])"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[0].labels[:100]"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.14"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}