pangenome/240408_HumanGenomeMeeting_HUGO/notebooks_with_output/RHD-RHCE - Small variant calling with Giraffe-DeepVariant.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Short Read Variant Calling With Giraffe & DeepVariant\n",
    "\n",
    "The tutorial demonstrates variant calling using the Human Pangenome Reference Consortium's (HPRC) year 1 Minigraph/CACTUS pangenome with the Giraffe/DeepVariant pipeline for calling germline small variants. \n",
    "\n",
    "For this demonstration, we will work with a region of chromosome 1 containing, among others, the RHCE gene which is a a challenging medically-relevant gene. \"Challenging medically-relevant genes\" are difficult to assess with short-read sequencing but are part of a recent benchmark truthset ([CRMG v1.0](https://www.nature.com/articles/s41587-021-01158-1)). The genomic interval extracted was `chr1:25053647-25685365` ([see in the UCSC Genome Browser](https://genome.ucsc.edu/cgi-bin/hgTracks?db=hg38&position=chr1%3A25053647%2D25685365)). \n",
    "The reads and pangenome in this workspace correspond to this slice of the genome.\n",
    "\n",
    "An Illumina dataset (produced by Google and made publicly available) with 30X coverage of HG002 has been sliced on the relevant region (as explained above). \n",
    "\n",
    "This workspace uses one of the HPRC's year 1 pangenomes created with the [Minigraph/CACTUS pipeline](https://github.com/ComparativeGenomicsToolkit/cactus/blob/master/doc/pangenome.md). For the Giraffe/DeepVariant pipeline, it is now recommended to use haplotype sampling on the full GRCh38-based graph (v1.1). Information about the HPRC's pangenome releases can be found in the HPRC's [pangenome resources GitHub repo](https://github.com/human-pangenomics/hpp_pangenome_resources).\n",
    "For this demonstration, we extracted the sub-graph of the chr1 region.\n",
    "\n",
    "Load some packages that we will use in this notebook."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd         ## for holding workspace table data in dataframes\n",
    "import os                   ## for reading in bucket location\n",
    "from IPython.display import Image, display ## for showing images in the notebook\n",
    "import cyvcf2                  ## to read VCF files"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Quick look at the data\n",
    "\n",
    "First let's count the nodes, edges, and the total sequence in the pangenome graph."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "nodes\t17966\n",
      "edges\t24831\n",
      "length\t714761\n"
     ]
    }
   ],
   "source": [
    "!vg stats -zl rhce_data/hprc-v1.0-mc-grch38.chr1_25053647_25685365.gbz"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here we used the `stats` subcommand from vg, asking to print the graph's size (`-z`) and total length (`-l`)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next we count the number of paths (haplotypes) in the pangenome, and print the length of a couple."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "91\n"
     ]
    }
   ],
   "source": [
    "!vg paths -Lx rhce_data/hprc-v1.0-mc-grch38.chr1_25053647_25685365.gbz | wc -l"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `paths` subcommand is all about paths. Here we count them by listing them (`-L`) and counting the number of lines in the output with `wc`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "HG00621.1.JAHBCD010000037.1[0-35449780][26254622]#0#0#0\t633212\n",
      "HG02559.2.JAGYVJ010000027.1[23420692]#0#0#0\t563038\n",
      "HG01928.1.JAGYVQ010000014.1[26259413]#0#0#0\t633168\n",
      "HG02559.1.JAGYVK010000054.1[0-36072197][26250913]#0#0#0\t632618\n",
      "HG02622.2.JAHAON010000073.1[15466790]#0#0#0\t633359\n",
      "HG01358.2.JAGYZA010000032.1[9571895-44971586][8500121]#0#0#0\t633309\n",
      "HG01361.2.JAGYYW010000019.1[14008927]#0#0#0\t633174\n",
      "HG00621.2.JAHBCC010000004.1[15399920]#0#0#0\t633112\n",
      "HG02818.1.JAHEOS010000052.1[7175661-60494670][8409652]#0#0#0\t633069\n",
      "HG02109.1.JAHEPG010000017.1[15235623]#0#0#0\t632968\n"
     ]
    }
   ],
   "source": [
    "!vg paths -Ex rhce_data/hprc-v1.0-mc-grch38.chr1_25053647_25685365.gbz | head"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `-E` option lists all the paths and their length. They are about 600 Kbp long.\n",
    "\n",
    "Finally, let's have a quick look at two sequencing reads in one of the FASTQ files."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "@A00744:46:HV3C3DSXX:2:1101:10384:19163\n",
      "AACCACTCTTTTGAATAGCAGAGAAAACCTCAGACTGCCATATCTGGGAGAGATTTTAGCAACATTATGTTTTCATTGTATCTCTTTTTACAGCTACCTCCCATTTCCCTTCTATTTAAAGCTAGTAACACAGTTTTCTTTTAAATTCATT\n",
      "+\n",
      "FF:FFFFF:F,F:F:FFF::FFFFFFF,,F,F:F::FF::F,,,FFF,FFFFFF,FFF,F:,F::,,FF:::,F:FF:FFF,FFFF,,FFFF:FFF,FF::FFF,,FFFF,FFFF:F,FF,F,F:F,F,FFFF,,F,,FFFFFFFF:FFFF\n",
      "@A00744:46:HV3C3DSXX:2:1101:10520:36714\n",
      "CAACTTCTTGAGTTAATCTCTCCATGTTGGAAAGCTTCCCTTGCTGGTTTCCCCATATGCTTCCAGCTTCAAGTCCTTTTTGGCTTCAAAACCACATGCCTGTGGTTCCAGCTACTGAGGAGGCTGAGGTGGGAGGATCGCTTGAGTCCAG\n",
      "+\n",
      "FFFFFFFFFFFFFFFFFFFFFFFFFF:FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF:FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF:FFFFFFFFFFFFFFFFFFFFFFFFFF\n",
      "\n",
      "gzip: stdout: Broken pipe\n"
     ]
    }
   ],
   "source": [
    "!zcat rhce_data/HG002.chr1_25053647_25685365.R1.fastq.gz | head -8"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Mapping reads to the pangenome with vg giraffe\n",
    "\n",
    "Here we show a **minimal command** to map the sequencing reads (gzipped FASTQ files), to the pangenome (GBZ file)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[IndexRegistry]: Constructing distance index for Giraffe.\n",
      "[IndexRegistry]: Constructing minimizer index.\n"
     ]
    }
   ],
   "source": [
    "!vg giraffe -Z rhce_data/hprc-v1.0-mc-grch38.chr1_25053647_25685365.gbz -t 4 -f rhce_data/HG002.chr1_25053647_25685365.R1.fastq.gz -f rhce_data/HG002.chr1_25053647_25685365.R2.fastq.gz -o gaf > test.gaf"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The pangenome in GBZ format is given with `-Z` while the reads are given with `-f`.\n",
    "If needed, giraffe will make the necessary *distance* and *minimizer* indexes. \n",
    "\n",
    "**Note**: if indexes are available, for example for public pangenomes, it is better to use them rather than recreate them because it can take some time and a fair amount of memory to build on large pangenomes.\n",
    "\n",
    "The output was redirected to the `test.gaf` file which represents the mapped reads in the [GAF format](https://github.com/lh3/gfatools/blob/master/doc/rGFA.md#the-graph-alignment-format-gaf). Let's have a look at the first read."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "A00744:46:HV3C3DSXX:2:1101:10520:36714\t151\t0\t151\t+\t<3775480<3775481<3775483<3775484<3775486\t443\t219\t370\t151\t151\t60\tAS:i:161\tbq:Z:FFFFFFFFFFFFFFFFFFFFFFFFFF:FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF:FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF:FFFFFFFFFFFFFFFFFFFFFFFFFF\tcs:Z::151\tdv:f:0\tfn:Z:A00744:46:HV3C3DSXX:2:1101:10520:36714\tpd:b:1\n"
     ]
    }
   ],
   "source": [
    "!head -1 test.gaf"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Mapping to the pangenome and making a BAM relative to a reference\n",
    "\n",
    "If you are just interested in the read alignment relative to a reference, i.e. the reads aligned to the pangenome and then projected(/surjected) to the reference path, you might want to **output a BAM directly**. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Guessing that rhce_data/hprc-v1.0-mc-grch38.chr1_25053647_25685365.dist is Giraffe Distance Index\n",
      "Guessing that rhce_data/hprc-v1.0-mc-grch38.chr1_25053647_25685365.min is Minimizers\n"
     ]
    }
   ],
   "source": [
    "!echo GRCh38.chr1 > ref.paths.txt\n",
    "!vg giraffe -Z rhce_data/hprc-v1.0-mc-grch38.chr1_25053647_25685365.gbz -t 4 -f rhce_data/HG002.chr1_25053647_25685365.R1.fastq.gz -f rhce_data/HG002.chr1_25053647_25685365.R2.fastq.gz -o BAM --ref-paths ref.paths.txt > test.bam"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With `-o BAM` we asked for a BAM output, and with `--ref-paths` we specified a file that contains a list of paths to use as reference for the projection/surjection. We created this file so that it contains `GRCh38.chr1`.\n",
    "\n",
    "Check a few aligned reads in the BAM:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "A00744:46:HV3C3DSXX:2:1101:10520:36714\t83\tGRCh38.chr1\t478792\t60\t151M\t=\t478706\t-66\tCTGGACTCAAGCGATCCTCCCACCTCAGCCTCCTCAGTAGCTGGAACCACAGGCATGTGGTTTTGAAGCCAAAAAGGACTTGAAGCTGGAAGCATATGGGGAAACCAGCAAGGGAAGCTTTCCAACATGGAGAGATTAACTCAAGAAGTTG\tFFFFFFFFFFFFFFFFFFFFFFFFFF:FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF:FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF:FFFFFFFFFFFFFFFFFFFFFFFFFF\tAS:i:156\n",
      "A00744:46:HV3C3DSXX:2:1101:10520:36714\t163\tGRCh38.chr1\t478706\t60\t12M1D139M\t=\t478792\t66\tGATTTTTTTTTTCAGACAGGGTCTCACTCTGTTGCCCAGGCTGGAGTGCAGTGGTGCGATCTCGGCTCACTGCAGCCTCCACCTCCTGGACTCAAGCGATCCTCCCACCTCAGCCTCCTCAGTAGCTGGAACCACAGGCATGTGGTTTTGA\tFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF,FFFFFFFFFF\tAS:i:155\n",
      "A00744:46:HV3C3DSXX:2:1101:10628:23782\t83\tGRCh38.chr1\t69215\t60\t151M\t=\t69155\t-91\tCTCTGCCACATGGTCACCTGCATTCCACAGTGAAGTACTCCATATCTACCATTGTTCAGTGTCATGCCAGGAGCTGCTTTTGCAATGGAGAGTCCTCTCTGCCAGAGAGGCCTGGCCTTGATACAGAACTCCAGGGATCTGTGCTCTGACC\t:::FFF:FFFFFFF,FF:F,FFFFF:FFFFF:F,FFF::FFF:FFFFFFF,FFFFFF,F:FFFFF:FFF:FFF:FFFFFFFFF:::F:FFFFF,FF:FFFF,FFFFF:FF,,:FFFFF,FFF:F:FFFFFF:,:FFFFFFFFF:FFFFFF:\tAS:i:156\n",
      "samtools view: writing to standard output failed: Broken pipe\n",
      "samtools view: error reading file \"test.bam\": Broken pipe\n",
      "samtools view: error closing standard output: -1\n"
     ]
    }
   ],
   "source": [
    "!samtools view test.bam | head -3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Run the vg Giraffe-DeepVariant workflow\n",
    "\n",
    "The sections above are useful to get a feel for the commands and imagine how to modify an existing pipeline to use a pangenome as reference. \n",
    "\n",
    "In practice, more steps are involved to achieve the best performance both in term of accuracy and compute. We've implemented a **workflow to uses Giraffe and DeepVariant to call small variants** in two languages:\n",
    "\n",
    "1. A **WDL** workflow that is best suited for cloud environments like the [AnVIL platform](https://anvilproject.org/).\n",
    "2. A **Snakemake** workflow that can run locally or on a HPC more easily.\n",
    "\n",
    "This workflow integrates several steps to improve scale and accuracy, including:\n",
    "- Haplotype-sampling of the pangenome based on the kmer distribution in the reads\n",
    "- Read realignment with bamleftalign and ABRA2 to improve indel accuracy\n",
    "- Sequence renameing (`GRCh38.chr1` to `chr1`) in the BAM and VCF.\n",
    "- GPU usage for DeepVariant\n",
    "\n",
    "First, let's get the Snakemake workflow from https://github.com/vgteam/vg_snakemake"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cloning into 'vg_snakemake'...\n",
      "remote: Enumerating objects: 328, done.\u001b[K\n",
      "remote: Counting objects: 100% (46/46), done.\u001b[K\n",
      "remote: Compressing objects: 100% (33/33), done.\u001b[K\n",
      "remote: Total 328 (delta 19), reused 31 (delta 11), pack-reused 282\u001b[K\n",
      "Receiving objects: 100% (328/328), 54.29 MiB | 11.40 MiB/s, done.\n",
      "Resolving deltas: 100% (141/141), done.\n"
     ]
    }
   ],
   "source": [
    "!git clone -b hapsampdv https://github.com/vgteam/vg_snakemake.git"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then we can run it.\n",
    "\n",
    "If you are using the docker image from Zenodo (from `curl XXX | docker load`) you can use the Singularity images that were already cached:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "!snakemake --singularity-prefix /singularity_cache --use-singularity --snakefile vg_snakemake/workflow/Snakefile --configfile smk.config.rhce.yaml --cores 8 all"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Otherwise, if you use the \"lightweight\" docker image, there is no Singularity cache to use, you will download the images on the fly (which can take a few minutes):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[33mBuilding DAG of jobs...\u001b[0m\n",
      "\u001b[33mUsing shell: /bin/bash\u001b[0m\n",
      "\u001b[33mProvided cores: 8\u001b[0m\n",
      "\u001b[33mRules claiming more threads will be scaled down.\u001b[0m\n",
      "\u001b[33mJob stats:\n",
      "job                        count\n",
      "-----------------------  -------\n",
      "all                            1\n",
      "coverage_mosdepth              1\n",
      "dv_call_variants               1\n",
      "dv_make_examples               1\n",
      "extract_unmapped_reads         1\n",
      "gaf_to_sorted_gam              1\n",
      "index_bam                      1\n",
      "index_distance                 1\n",
      "index_fasta                    1\n",
      "index_haplotype_kmers          1\n",
      "index_minimizer                1\n",
      "index_r_fullpg                 1\n",
      "map_short_reads_giraffe        1\n",
      "pack                           1\n",
      "sample_haplotypes              1\n",
      "surject_reads                  1\n",
      "sv_call_manta                  1\n",
      "vgcall                         1\n",
      "total                         18\n",
      "\u001b[0m\n",
      "\u001b[33mSelect jobs to execute...\u001b[0m\n",
      "\u001b[32m\u001b[0m\n",
      "\u001b[32m[Mon Apr 15 14:07:18 2024]\u001b[0m\n",
      "\u001b[32mrule index_r_fullpg:\n",
      "    input: rhce_data/hprc-v1.0-mc-grch38.chr1_25053647_25685365.gbz\n",
      "    output: results/pg/hprc-v1.0-mc-grch38.chr1_25053647_25685365.ri\n",
      "    jobid: 6\n",
      "    benchmark: benchmark/hprc-v1.0-mc-grch38.chr1_25053647_25685365.index_r.benchmark.tsv\n",
      "    reason: Missing output files: results/pg/hprc-v1.0-mc-grch38.chr1_25053647_25685365.ri\n",
      "    wildcards: graph=hprc-v1.0-mc-grch38.chr1_25053647_25685365\n",
      "    threads: 8\n",
      "    resources: tmpdir=/tmp\u001b[0m\n",
      "\u001b[32m\u001b[0m\n",
      "\u001b[33mActivating singularity image /tmp/jean/giraffe-deepvariant-rhce/.snakemake/singularity/5c8e39bd21b0ac80cae5b8b8ea785d5c.simg\u001b[0m\n",
      "/usr/bin/bash: warning: setlocale: LC_ALL: cannot change locale (en_US.UTF-8)\n",
      "Building input GBWTs\n",
      "Input type: GBZ\n",
      "Loading GBZ from rhce_data/hprc-v1.0-mc-grch38.chr1_25053647_25685365.gbz\n",
      "GBWTs built in 0.0236768 seconds, 0.0204468 GiB\n",
      "\n",
      "Building r-index\n",
      "Starting the construction\n",
      "Saving r-index to results/pg/hprc-v1.0-mc-grch38.chr1_25053647_25685365.ri\n",
      "R-index built in 0.0347153 seconds, 0.0274658 GiB\n",
      "\n",
      "\u001b[32m[Mon Apr 15 14:07:18 2024]\u001b[0m\n",
      "\u001b[32mFinished job 6.\u001b[0m\n",
      "\u001b[32m1 of 18 steps (6%) done\u001b[0m\n",
      "\u001b[33mSelect jobs to execute...\u001b[0m\n",
      "\u001b[32m\u001b[0m\n",
      "\u001b[32m[Mon Apr 15 14:07:18 2024]\u001b[0m\n",
      "\u001b[32mrule index_haplotype_kmers:\n",
      "    input: rhce_data/hprc-v1.0-mc-grch38.chr1_25053647_25685365.gbz, results/pg/hprc-v1.0-mc-grch38.chr1_25053647_25685365.dist, results/pg/hprc-v1.0-mc-grch38.chr1_25053647_25685365.ri\n",
      "    output: results/pg/hprc-v1.0-mc-grch38.chr1_25053647_25685365.hapl\n",
      "    jobid: 4\n",
      "    benchmark: benchmark/hprc-v1.0-mc-grch38.chr1_25053647_25685365.index_haplotype_kmers.benchmark.tsv\n",
      "    reason: Missing output files: results/pg/hprc-v1.0-mc-grch38.chr1_25053647_25685365.hapl; Input files updated by another job: results/pg/hprc-v1.0-mc-grch38.chr1_25053647_25685365.ri\n",
      "    wildcards: graph=hprc-v1.0-mc-grch38.chr1_25053647_25685365\n",
      "    threads: 8\n",
      "    resources: tmpdir=/tmp\u001b[0m\n",
      "\u001b[32m\u001b[0m\n",
      "\u001b[33mActivating singularity image /tmp/jean/giraffe-deepvariant-rhce/.snakemake/singularity/5c8e39bd21b0ac80cae5b8b8ea785d5c.simg\u001b[0m\n",
      "/usr/bin/bash: warning: setlocale: LC_ALL: cannot change locale (en_US.UTF-8)\n",
      "Loading GBZ from rhce_data/hprc-v1.0-mc-grch38.chr1_25053647_25685365.gbz\n",
      "Generating haplotype information\n",
      "Loading distance index from results/pg/hprc-v1.0-mc-grch38.chr1_25053647_25685365.dist\n",
      "Building minimizer index\n",
      "Built the minimizer index in 0.0378492 seconds\n",
      "Loading r-index from results/pg/hprc-v1.0-mc-grch38.chr1_25053647_25685365.ri\n",
      "Determining construction jobs\n",
      "Partitioned 1 components into 1 jobs in 0.00467635 seconds\n",
      "Running 8 jobs in parallel\n",
      "Finished job 0 with 1 chains, 56 subchains, and 37620 kmers\n",
      "Finished the jobs in 1.88298 seconds\n",
      "Generated haplotype information in 1.92618 seconds\n",
      "Writing haplotype information to results/pg/hprc-v1.0-mc-grch38.chr1_25053647_25685365.hapl\n",
      "Used 1.99095 seconds, 0.050354 GiB\n",
      "\u001b[32m[Mon Apr 15 14:07:20 2024]\u001b[0m\n",
      "\u001b[32mFinished job 4.\u001b[0m\n",
      "\u001b[32m2 of 18 steps (11%) done\u001b[0m\n",
      "\u001b[33mSelect jobs to execute...\u001b[0m\n",
      "\u001b[32m\u001b[0m\n",
      "\u001b[32m[Mon Apr 15 14:07:20 2024]\u001b[0m\n",
      "\u001b[32mrule sample_haplotypes:\n",
      "    input: rhce_data/hprc-v1.0-mc-grch38.chr1_25053647_25685365.gbz, results/pg/hprc-v1.0-mc-grch38.chr1_25053647_25685365.hapl, results/HG002/HG002.kff\n",
      "    output: results/HG002/hprc-v1.0-mc-grch38.chr1_25053647_25685365.sample_pg.HG002.gbz\n",
      "    jobid: 3\n",
      "    benchmark: benchmark/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.sample_haplotypes.benchmark.tsv\n",
      "    reason: Missing output files: results/HG002/hprc-v1.0-mc-grch38.chr1_25053647_25685365.sample_pg.HG002.gbz; Input files updated by another job: results/pg/hprc-v1.0-mc-grch38.chr1_25053647_25685365.hapl\n",
      "    wildcards: sample=HG002, graph=hprc-v1.0-mc-grch38.chr1_25053647_25685365\n",
      "    priority: 1\n",
      "    threads: 8\n",
      "    resources: tmpdir=/tmp\u001b[0m\n",
      "\u001b[32m\u001b[0m\n",
      "\u001b[33mActivating singularity image /tmp/jean/giraffe-deepvariant-rhce/.snakemake/singularity/5c8e39bd21b0ac80cae5b8b8ea785d5c.simg\u001b[0m\n",
      "/usr/bin/bash: warning: setlocale: LC_ALL: cannot change locale (en_US.UTF-8)\n",
      "Loading GBZ from rhce_data/hprc-v1.0-mc-grch38.chr1_25053647_25685365.gbz\n",
      "Loading haplotype information from results/pg/hprc-v1.0-mc-grch38.chr1_25053647_25685365.hapl\n",
      "Reading kmer counts\n",
      "Initialized the hash map with 37620 kmers in 0.00174088 seconds\n",
      "Read 466057 kmers in 0.0289034 seconds\n",
      "Read the kmer counts in 0.0323029 seconds\n",
      "Estimating kmer coverage\n",
      "Coverage: median 24, mean 24.6515, stdev 9.76619, mode 25; using 25\n",
      "Estimated kmer coverage in 0.00048861 seconds\n",
      "Building GBWT\n",
      "Running 7 GBWT construction jobs in parallel\n",
      "Job 0: 2 haplotypes for 1 chains (0 full, 56 subchains, 1 fragments); connection rate 0.205357; included 1 reference paths; used 37565 kmers with average score 0.554728\n",
      "Total: 2 haplotypes for 1 chains (0 full, 56 subchains, 1 fragments); connection rate 0.205357; included 1 reference paths; used 37565 kmers with average score 0.554728\n",
      "Finished the jobs in 0.199329 seconds\n",
      "Merging the partial indexes\n",
      "Merged the indexes in 0.0233004 seconds\n",
      "Built the GBWT in 0.222662 seconds\n",
      "Building GBWTGraph\n",
      "Built the GBWTGraph in 0.0123437 seconds\n",
      "Saving GBWT and GBWTGraph to results/HG002/hprc-v1.0-mc-grch38.chr1_25053647_25685365.sample_pg.HG002.gbz\n",
      "Used 0.299473 seconds, 0.635769 GiB\n",
      "\u001b[32m[Mon Apr 15 14:07:20 2024]\u001b[0m\n",
      "\u001b[32mFinished job 3.\u001b[0m\n",
      "\u001b[32m3 of 18 steps (17%) done\u001b[0m\n",
      "\u001b[33mRemoving temporary output results/HG002/HG002.kff.\u001b[0m\n",
      "\u001b[33mSelect jobs to execute...\u001b[0m\n",
      "\u001b[32m\u001b[0m\n",
      "\u001b[32m[Mon Apr 15 14:07:20 2024]\u001b[0m\n",
      "\u001b[32mrule index_distance:\n",
      "    input: results/HG002/hprc-v1.0-mc-grch38.chr1_25053647_25685365.sample_pg.HG002.gbz\n",
      "    output: results/HG002/hprc-v1.0-mc-grch38.chr1_25053647_25685365.sample_pg.HG002.dist\n",
      "    jobid: 8\n",
      "    benchmark: benchmark/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.index_distance.benchmark.tsv\n",
      "    reason: Missing output files: results/HG002/hprc-v1.0-mc-grch38.chr1_25053647_25685365.sample_pg.HG002.dist; Input files updated by another job: results/HG002/hprc-v1.0-mc-grch38.chr1_25053647_25685365.sample_pg.HG002.gbz\n",
      "    wildcards: sample=HG002, graph=hprc-v1.0-mc-grch38.chr1_25053647_25685365\n",
      "    resources: tmpdir=/tmp\u001b[0m\n",
      "\u001b[32m\u001b[0m\n",
      "\u001b[32m\u001b[0m\n",
      "\u001b[33mActivating singularity image /tmp/jean/giraffe-deepvariant-rhce/.snakemake/singularity/5c8e39bd21b0ac80cae5b8b8ea785d5c.simg\u001b[0m\n",
      "\u001b[32m[Mon Apr 15 14:07:20 2024]\u001b[0m\n",
      "\u001b[32mrule index_fasta:\n",
      "    input: results/pg/hprc-v1.0-mc-grch38.chr1_25053647_25685365.ref.fa\n",
      "    output: results/pg/hprc-v1.0-mc-grch38.chr1_25053647_25685365.ref.fa.fai, results/pg/hprc-v1.0-mc-grch38.chr1_25053647_25685365.ref.dict\n",
      "    jobid: 13\n",
      "    reason: Missing output files: results/pg/hprc-v1.0-mc-grch38.chr1_25053647_25685365.ref.fa.fai\n",
      "    wildcards: graph=hprc-v1.0-mc-grch38.chr1_25053647_25685365\n",
      "    resources: tmpdir=/tmp\u001b[0m\n",
      "\u001b[32m\u001b[0m\n",
      "\u001b[33mActivating singularity image /tmp/jean/giraffe-deepvariant-rhce/.snakemake/singularity/15ea4b7388cab32eb6e85c49a17ffb64.simg\u001b[0m\n",
      "/usr/bin/bash: warning: setlocale: LC_ALL: cannot change locale (en_US.UTF-8)\n",
      "/usr/bin/bash: warning: setlocale: LC_ALL: cannot change locale (en_US.UTF-8)\n",
      "/bin/bash: warning: setlocale: LC_ALL: cannot change locale (en_US.UTF-8)\n",
      "/opt/conda/bin/picard: line 5: warning: setlocale: LC_ALL: cannot change locale (en_US.UTF-8)\n",
      "\u001b[32m[Mon Apr 15 14:07:21 2024]\u001b[0m\n",
      "\u001b[32mFinished job 8.\u001b[0m\n",
      "\u001b[32m4 of 18 steps (22%) done\u001b[0m\n",
      "\u001b[33mSelect jobs to execute...\u001b[0m\n",
      "INFO\t2024-04-15 12:07:21\tCreateSequenceDictionary\t\n",
      "\n",
      "********** NOTE: Picard's command line syntax is changing.\n",
      "**********\n",
      "********** For more information, please see:\n",
      "********** https://github.com/broadinstitute/picard/wiki/Command-Line-Syntax-Transition-For-Users-(Pre-Transition)\n",
      "**********\n",
      "********** The command line looks like this in the new syntax:\n",
      "**********\n",
      "**********    CreateSequenceDictionary -R results/pg/hprc-v1.0-mc-grch38.chr1_25053647_25685365.ref.fa -O results/pg/hprc-v1.0-mc-grch38.chr1_25053647_25685365.ref.dict\n",
      "**********\n",
      "\n",
      "\n",
      "12:07:21.626 INFO  NativeLibraryLoader - Loading libgkl_compression.so from jar:file:/opt/conda/share/picard-2.18.29-0/picard.jar!/com/intel/gkl/native/libgkl_compression.so\n",
      "[Mon Apr 15 12:07:21 UTC 2024] CreateSequenceDictionary OUTPUT=results/pg/hprc-v1.0-mc-grch38.chr1_25053647_25685365.ref.dict REFERENCE=results/pg/hprc-v1.0-mc-grch38.chr1_25053647_25685365.ref.fa    TRUNCATE_NAMES_AT_WHITESPACE=true NUM_SEQUENCES=2147483647 VERBOSITY=INFO QUIET=false VALIDATION_STRINGENCY=STRICT COMPRESSION_LEVEL=5 MAX_RECORDS_IN_RAM=500000 CREATE_INDEX=false CREATE_MD5_FILE=false GA4GH_CLIENT_SECRETS=client_secrets.json USE_JDK_DEFLATER=false USE_JDK_INFLATER=false\n",
      "[Mon Apr 15 12:07:21 UTC 2024] Executing as demo@47495221e623 on Linux 6.5.0-27-generic amd64; OpenJDK 64-Bit Server VM 1.8.0_152-release-1056-b12; Deflater: Intel; Inflater: Intel; Provider GCS is not available; Picard version: 2.18.29-SNAPSHOT\n",
      "[Mon Apr 15 12:07:21 UTC 2024] picard.sam.CreateSequenceDictionary done. Elapsed time: 0.00 minutes.\n",
      "Runtime.totalMemory()=514850816\n",
      "\u001b[32m[Mon Apr 15 14:07:21 2024]\u001b[0m\n",
      "\u001b[32mFinished job 13.\u001b[0m\n",
      "\u001b[32m5 of 18 steps (28%) done\u001b[0m\n",
      "\u001b[32m\u001b[0m\n",
      "\u001b[32m[Mon Apr 15 14:07:21 2024]\u001b[0m\n",
      "\u001b[32mrule index_minimizer:\n",
      "    input: results/HG002/hprc-v1.0-mc-grch38.chr1_25053647_25685365.sample_pg.HG002.gbz, results/HG002/hprc-v1.0-mc-grch38.chr1_25053647_25685365.sample_pg.HG002.dist\n",
      "    output: results/HG002/hprc-v1.0-mc-grch38.chr1_25053647_25685365.sample_pg.HG002.min\n",
      "    jobid: 9\n",
      "    benchmark: benchmark/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.index_minimizer.benchmark.tsv\n",
      "    reason: Missing output files: results/HG002/hprc-v1.0-mc-grch38.chr1_25053647_25685365.sample_pg.HG002.min; Input files updated by another job: results/HG002/hprc-v1.0-mc-grch38.chr1_25053647_25685365.sample_pg.HG002.gbz, results/HG002/hprc-v1.0-mc-grch38.chr1_25053647_25685365.sample_pg.HG002.dist\n",
      "    wildcards: sample=HG002, graph=hprc-v1.0-mc-grch38.chr1_25053647_25685365\n",
      "    threads: 8\n",
      "    resources: tmpdir=/tmp\u001b[0m\n",
      "\u001b[32m\u001b[0m\n",
      "\u001b[33mActivating singularity image /tmp/jean/giraffe-deepvariant-rhce/.snakemake/singularity/5c8e39bd21b0ac80cae5b8b8ea785d5c.simg\u001b[0m\n",
      "/usr/bin/bash: warning: setlocale: LC_ALL: cannot change locale (en_US.UTF-8)\n",
      "\u001b[32m[Mon Apr 15 14:07:21 2024]\u001b[0m\n",
      "\u001b[32mFinished job 9.\u001b[0m\n",
      "\u001b[32m6 of 18 steps (33%) done\u001b[0m\n",
      "\u001b[33mSelect jobs to execute...\u001b[0m\n",
      "\u001b[32m\u001b[0m\n",
      "\u001b[32m[Mon Apr 15 14:07:21 2024]\u001b[0m\n",
      "\u001b[32mrule map_short_reads_giraffe:\n",
      "    input: rhce_data/HG002.chr1_25053647_25685365.R1.fastq.gz, rhce_data/HG002.chr1_25053647_25685365.R2.fastq.gz, results/HG002/hprc-v1.0-mc-grch38.chr1_25053647_25685365.sample_pg.HG002.gbz, results/HG002/hprc-v1.0-mc-grch38.chr1_25053647_25685365.sample_pg.HG002.dist, results/HG002/hprc-v1.0-mc-grch38.chr1_25053647_25685365.sample_pg.HG002.min\n",
      "    output: results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.gaf.gz\n",
      "    jobid: 2\n",
      "    benchmark: benchmark/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.map_short_reads_giraffe.benchmark.tsv\n",
      "    reason: Missing output files: results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.gaf.gz; Input files updated by another job: results/HG002/hprc-v1.0-mc-grch38.chr1_25053647_25685365.sample_pg.HG002.min, results/HG002/hprc-v1.0-mc-grch38.chr1_25053647_25685365.sample_pg.HG002.gbz, results/HG002/hprc-v1.0-mc-grch38.chr1_25053647_25685365.sample_pg.HG002.dist\n",
      "    wildcards: sample=HG002, graph=hprc-v1.0-mc-grch38.chr1_25053647_25685365\n",
      "    priority: 2\n",
      "    threads: 8\n",
      "    resources: tmpdir=/tmp\u001b[0m\n",
      "\u001b[32m\u001b[0m\n",
      "\u001b[33mActivating singularity image /tmp/jean/giraffe-deepvariant-rhce/.snakemake/singularity/5c8e39bd21b0ac80cae5b8b8ea785d5c.simg\u001b[0m\n",
      "/usr/bin/bash: warning: setlocale: LC_ALL: cannot change locale (en_US.UTF-8)\n",
      "Preparing Indexes\n",
      "Loading Minimizer Index\n",
      "Loading GBZ\n",
      "Loading Distance Index v2\n",
      "Paging in Distance Index v2\n",
      "Initializing MinimizerMapper\n",
      "Loading and initialization: 0.0266704 seconds\n",
      "Of which Distance Index v2 paging: 5.7269e-05 seconds\n",
      "Mapping reads to \"-\" (GAF)\n",
      "--watchdog-timeout 10\n",
      "--match 1\n",
      "--mismatch 4\n",
      "--gap-open 6\n",
      "--gap-extend 1\n",
      "--full-l-bonus 5\n",
      "--max-multimaps 1\n",
      "--hit-cap 10\n",
      "--hard-hit-cap 500\n",
      "--score-fraction 0.9\n",
      "--max-min 500\n",
      "--num-bp-per-min 1000\n",
      "--distance-limit 200\n",
      "--max-extensions 800\n",
      "--max-alignments 8\n",
      "--cluster-score 50\n",
      "--pad-cluster-score 20\n",
      "--cluster-coverage 0.3\n",
      "--extension-score 1\n",
      "--extension-set 20\n",
      "--rescue-attempts 15\n",
      "--max-fragment-length 2000\n",
      "--paired-distance-limit 2\n",
      "--rescue-subgraph-size 4\n",
      "--rescue-seed-limit 100\n",
      "--chaining-cluster-distance 100\n",
      "--precluster-connection-coverage-threshold 0.3\n",
      "--min-precluster-connections 10\n",
      "--max-precluster-connections 50\n",
      "--max-lookback-bases 100\n",
      "--min-lookback-items 1\n",
      "--lookback-item-hard-cap 15\n",
      "--chain-score-threshold 100\n",
      "--min-chains 1\n",
      "--chain-min-score 100\n",
      "--max-chain-connection 100\n",
      "--max-tail-length 100\n",
      "--max-dp-cells 16777216\n",
      "--rescue-algorithm dozeu\n",
      "Not counting CPU instructions because perf events are unavailable: Permission denied\n",
      "Using fragment length estimate: 385.824 +/- 156.494\n",
      "Mapped 110866 reads across 8 threads in 1.12972 seconds with 0.117612 additional single-threaded seconds.\n",
      "Mapping speed: 12109.4 reads per second per thread\n",
      "Used 6.53251 CPU-seconds (including output).\n",
      "Achieved 16971.4 reads per CPU-second (including output)\n",
      "Memory footprint: 0.149067 GB\n",
      "\u001b[32m[Mon Apr 15 14:07:24 2024]\u001b[0m\n",
      "\u001b[32mFinished job 2.\u001b[0m\n",
      "\u001b[32m7 of 18 steps (39%) done\u001b[0m\n",
      "\u001b[33mRemoving temporary output results/HG002/hprc-v1.0-mc-grch38.chr1_25053647_25685365.sample_pg.HG002.dist.\u001b[0m\n",
      "\u001b[33mRemoving temporary output results/HG002/hprc-v1.0-mc-grch38.chr1_25053647_25685365.sample_pg.HG002.min.\u001b[0m\n",
      "\u001b[33mSelect jobs to execute...\u001b[0m\n",
      "\u001b[32m\u001b[0m\n",
      "\u001b[32m[Mon Apr 15 14:07:24 2024]\u001b[0m\n",
      "\u001b[32mrule surject_reads:\n",
      "    input: results/HG002/hprc-v1.0-mc-grch38.chr1_25053647_25685365.sample_pg.HG002.gbz, rhce_data/ref.paths.list.txt, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.gaf.gz, results/pg/hprc-v1.0-mc-grch38.chr1_25053647_25685365.ref.fa, results/pg/hprc-v1.0-mc-grch38.chr1_25053647_25685365.ref.fa.fai\n",
      "    output: results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.bam\n",
      "    jobid: 11\n",
      "    benchmark: benchmark/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surject_reads.benchmark.tsv\n",
      "    reason: Missing output files: results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.bam; Input files updated by another job: results/pg/hprc-v1.0-mc-grch38.chr1_25053647_25685365.ref.fa.fai, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.gaf.gz, results/HG002/hprc-v1.0-mc-grch38.chr1_25053647_25685365.sample_pg.HG002.gbz\n",
      "    wildcards: sample=HG002, graph=hprc-v1.0-mc-grch38.chr1_25053647_25685365\n",
      "    priority: 3\n",
      "    threads: 8\n",
      "    resources: tmpdir=/tmp\u001b[0m\n",
      "\u001b[32m\u001b[0m\n",
      "\u001b[33mActivating singularity image /tmp/jean/giraffe-deepvariant-rhce/.snakemake/singularity/15ea4b7388cab32eb6e85c49a17ffb64.simg\u001b[0m\n",
      "/usr/bin/bash: warning: setlocale: LC_ALL: cannot change locale (en_US.UTF-8)\n",
      "[bam_sort_core] merging from 0 files and 4 in-memory blocks...\n",
      "\u001b[32m[Mon Apr 15 14:07:26 2024]\u001b[0m\n",
      "\u001b[32mFinished job 11.\u001b[0m\n",
      "\u001b[32m8 of 18 steps (44%) done\u001b[0m\n",
      "\u001b[33mSelect jobs to execute...\u001b[0m\n",
      "\u001b[32m\u001b[0m\n",
      "\u001b[32m[Mon Apr 15 14:07:26 2024]\u001b[0m\n",
      "\u001b[32mrule pack:\n",
      "    input: results/HG002/hprc-v1.0-mc-grch38.chr1_25053647_25685365.sample_pg.HG002.gbz, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.gaf.gz\n",
      "    output: results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.pack\n",
      "    log: logs/pack.hprc-v1.0-mc-grch38.chr1_25053647_25685365.HG002.log\n",
      "    jobid: 19\n",
      "    benchmark: benchmark/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.pack.benchmark.tsv\n",
      "    reason: Missing output files: results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.pack; Input files updated by another job: results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.gaf.gz, results/HG002/hprc-v1.0-mc-grch38.chr1_25053647_25685365.sample_pg.HG002.gbz\n",
      "    wildcards: sample=HG002, graph=hprc-v1.0-mc-grch38.chr1_25053647_25685365\n",
      "    priority: 3\n",
      "    threads: 8\n",
      "    resources: tmpdir=/tmp\u001b[0m\n",
      "\u001b[32m\u001b[0m\n",
      "\u001b[33mActivating singularity image /tmp/jean/giraffe-deepvariant-rhce/.snakemake/singularity/5c8e39bd21b0ac80cae5b8b8ea785d5c.simg\u001b[0m\n",
      "/usr/bin/bash: warning: setlocale: LC_ALL: cannot change locale (en_US.UTF-8)\n",
      "\u001b[32m[Mon Apr 15 14:07:30 2024]\u001b[0m\n",
      "\u001b[32mFinished job 19.\u001b[0m\n",
      "\u001b[32m9 of 18 steps (50%) done\u001b[0m\n",
      "\u001b[33mSelect jobs to execute...\u001b[0m\n",
      "\u001b[32m\u001b[0m\n",
      "\u001b[32m[Mon Apr 15 14:07:30 2024]\u001b[0m\n",
      "\u001b[32mrule vgcall:\n",
      "    input: results/HG002/hprc-v1.0-mc-grch38.chr1_25053647_25685365.sample_pg.HG002.gbz, rhce_data/ref.paths.list.txt, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.pack\n",
      "    output: results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.gt.minlen30.vcf.gz\n",
      "    jobid: 18\n",
      "    benchmark: benchmark/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.vgcall.minlen30.benchmark.tsv\n",
      "    reason: Missing output files: results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.gt.minlen30.vcf.gz; Input files updated by another job: results/HG002/hprc-v1.0-mc-grch38.chr1_25053647_25685365.sample_pg.HG002.gbz, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.pack\n",
      "    wildcards: sample=HG002, graph=hprc-v1.0-mc-grch38.chr1_25053647_25685365, minlen=30\n",
      "    priority: 4\n",
      "    threads: 8\n",
      "    resources: tmpdir=/tmp\u001b[0m\n",
      "\u001b[32m\u001b[0m\n",
      "\u001b[33mActivating singularity image /tmp/jean/giraffe-deepvariant-rhce/.snakemake/singularity/5c8e39bd21b0ac80cae5b8b8ea785d5c.simg\u001b[0m\n",
      "/usr/bin/bash: warning: setlocale: LC_ALL: cannot change locale (en_US.UTF-8)\n",
      "\u001b[32m[Mon Apr 15 14:07:30 2024]\u001b[0m\n",
      "\u001b[32mFinished job 18.\u001b[0m\n",
      "\u001b[32m10 of 18 steps (56%) done\u001b[0m\n",
      "\u001b[33mSelect jobs to execute...\u001b[0m\n",
      "\u001b[32m\u001b[0m\n",
      "\u001b[32m[Mon Apr 15 14:07:30 2024]\u001b[0m\n",
      "\u001b[32mrule extract_unmapped_reads:\n",
      "    input: rhce_data/HG002.chr1_25053647_25685365.R1.fastq.gz, rhce_data/HG002.chr1_25053647_25685365.R2.fastq.gz, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.gaf.gz\n",
      "    output: results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.unmapped.fq.gz\n",
      "    jobid: 1\n",
      "    benchmark: benchmark/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.extract_unmapped_reads.benchmark.tsv\n",
      "    reason: Missing output files: results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.unmapped.fq.gz; Input files updated by another job: results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.gaf.gz\n",
      "    wildcards: sample=HG002, graph=hprc-v1.0-mc-grch38.chr1_25053647_25685365\n",
      "    resources: tmpdir=/tmp\u001b[0m\n",
      "\u001b[32m\u001b[0m\n",
      "\u001b[32m\u001b[0m\n",
      "\u001b[32m[Mon Apr 15 14:07:30 2024]\u001b[0m\n",
      "\u001b[32mrule gaf_to_sorted_gam:\n",
      "    input: results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.gaf.gz, results/HG002/hprc-v1.0-mc-grch38.chr1_25053647_25685365.sample_pg.HG002.gbz\n",
      "    output: results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.sorted.gam, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.sorted.gam.gai\n",
      "    jobid: 10\n",
      "    benchmark: benchmark/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.gaf_to_sorted_gam.benchmark.tsv\n",
      "    reason: Missing output files: results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.sorted.gam; Input files updated by another job: results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.gaf.gz, results/HG002/hprc-v1.0-mc-grch38.chr1_25053647_25685365.sample_pg.HG002.gbz\n",
      "    wildcards: sample=HG002, graph=hprc-v1.0-mc-grch38.chr1_25053647_25685365\n",
      "    threads: 4\n",
      "    resources: tmpdir=/tmp\u001b[0m\n",
      "\u001b[32m\u001b[0m\n",
      "\u001b[33mActivating singularity image /tmp/jean/giraffe-deepvariant-rhce/.snakemake/singularity/15ea4b7388cab32eb6e85c49a17ffb64.simg\u001b[0m\n",
      "\u001b[32m\u001b[0m\n",
      "\u001b[33mActivating singularity image /tmp/jean/giraffe-deepvariant-rhce/.snakemake/singularity/15ea4b7388cab32eb6e85c49a17ffb64.simg\u001b[0m\n",
      "\u001b[32m[Mon Apr 15 14:07:30 2024]\u001b[0m\n",
      "\u001b[32mrule index_bam:\n",
      "    input: results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.bam\n",
      "    output: results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.bam.bai\n",
      "    jobid: 14\n",
      "    benchmark: benchmark/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.index_bam.benchmark.tsv\n",
      "    reason: Missing output files: results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.bam.bai; Input files updated by another job: results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.bam\n",
      "    wildcards: sample=HG002, graph=hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj\n",
      "    resources: tmpdir=/tmp\u001b[0m\n",
      "\u001b[32m\u001b[0m\n",
      "\u001b[33mActivating singularity image /tmp/jean/giraffe-deepvariant-rhce/.snakemake/singularity/15ea4b7388cab32eb6e85c49a17ffb64.simg\u001b[0m\n",
      "/usr/bin/bash: warning: setlocale: LC_ALL: cannot change locale (en_US.UTF-8)\n",
      "/usr/bin/bash: warning: setlocale: LC_ALL: cannot change locale (en_US.UTF-8)\n",
      "/usr/bin/bash: warning: setlocale: LC_ALL: cannot change locale (en_US.UTF-8)\n",
      "\u001b[32m[Mon Apr 15 14:07:31 2024]\u001b[0m\n",
      "\u001b[32mFinished job 14.\u001b[0m\n",
      "\u001b[32m11 of 18 steps (61%) done\u001b[0m\n",
      "\u001b[33mSelect jobs to execute...\u001b[0m\n",
      "\u001b[32m[Mon Apr 15 14:07:31 2024]\u001b[0m\n",
      "\u001b[32mFinished job 1.\u001b[0m\n",
      "\u001b[32m12 of 18 steps (67%) done\u001b[0m\n",
      "\u001b[32m\u001b[0m\n",
      "\u001b[32m[Mon Apr 15 14:07:31 2024]\u001b[0m\n",
      "\u001b[32mrule coverage_mosdepth:\n",
      "    input: results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.bam, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.bam.bai\n",
      "    output: results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.coverage.q.bed.gz, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.coverage.bed.gz\n",
      "    jobid: 20\n",
      "    benchmark: benchmark/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.coverage_mosdepth.benchmark.tsv\n",
      "    reason: Missing output files: results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.coverage.q.bed.gz, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.coverage.bed.gz; Input files updated by another job: results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.bam, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.bam.bai\n",
      "    wildcards: sample=HG002, graph=hprc-v1.0-mc-grch38.chr1_25053647_25685365, surj=surj\n",
      "    priority: 6\n",
      "    threads: 4\n",
      "    resources: tmpdir=/tmp\u001b[0m\n",
      "\u001b[32m\u001b[0m\n",
      "\u001b[33mActivating singularity image /tmp/jean/giraffe-deepvariant-rhce/.snakemake/singularity/d9dca07bcd1b6069943678a74f63eccf.simg\u001b[0m\n",
      "/usr/bin/bash: warning: setlocale: LC_ALL: cannot change locale (en_US.UTF-8)\n",
      "\u001b[32m[Mon Apr 15 14:07:31 2024]\u001b[0m\n",
      "\u001b[32mFinished job 20.\u001b[0m\n",
      "\u001b[32m13 of 18 steps (72%) done\u001b[0m\n",
      "\u001b[33mSelect jobs to execute...\u001b[0m\n",
      "\u001b[32m[Mon Apr 15 14:07:33 2024]\u001b[0m\n",
      "\u001b[32mFinished job 10.\u001b[0m\n",
      "\u001b[32m14 of 18 steps (78%) done\u001b[0m\n",
      "\u001b[32m\u001b[0m\n",
      "\u001b[32m[Mon Apr 15 14:07:33 2024]\u001b[0m\n",
      "\u001b[32mrule dv_make_examples:\n",
      "    input: results/pg/hprc-v1.0-mc-grch38.chr1_25053647_25685365.ref.fa, results/pg/hprc-v1.0-mc-grch38.chr1_25053647_25685365.ref.fa.fai, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.bam, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.bam.bai\n",
      "    output: results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.make_examples.tfrecord.tar.gz\n",
      "    log: logs/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.dv_make_examples.log\n",
      "    jobid: 16\n",
      "    benchmark: benchmark/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.dv_make_examples.benchmark.tsv\n",
      "    reason: Missing output files: results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.make_examples.tfrecord.tar.gz; Input files updated by another job: results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.bam, results/pg/hprc-v1.0-mc-grch38.chr1_25053647_25685365.ref.fa.fai, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.bam.bai\n",
      "    wildcards: sample=HG002, graph=hprc-v1.0-mc-grch38.chr1_25053647_25685365, surj=surj\n",
      "    priority: 6\n",
      "    threads: 8\n",
      "    resources: tmpdir=/tmp\u001b[0m\n",
      "\u001b[32m\u001b[0m\n",
      "\u001b[33mActivating singularity image /tmp/jean/giraffe-deepvariant-rhce/.snakemake/singularity/b05b03469a87b783fcec102df49569e8.simg\u001b[0m\n",
      "/usr/bin/bash: warning: setlocale: LC_ALL: cannot change locale (en_US.UTF-8)\n",
      "\u001b[32m[Mon Apr 15 14:07:41 2024]\u001b[0m\n",
      "\u001b[32mFinished job 16.\u001b[0m\n",
      "\u001b[32m15 of 18 steps (83%) done\u001b[0m\n",
      "\u001b[33mSelect jobs to execute...\u001b[0m\n",
      "\u001b[32m\u001b[0m\n",
      "\u001b[32m[Mon Apr 15 14:07:41 2024]\u001b[0m\n",
      "\u001b[32mrule dv_call_variants:\n",
      "    input: results/pg/hprc-v1.0-mc-grch38.chr1_25053647_25685365.ref.fa, results/pg/hprc-v1.0-mc-grch38.chr1_25053647_25685365.ref.fa.fai, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.make_examples.tfrecord.tar.gz\n",
      "    output: results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.snv_indels.vcf.gz, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.snv_indels.vcf.gz.tbi, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.snv_indels.g.vcf.gz, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.snv_indels.g.vcf.gz.tbi\n",
      "    log: logs/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.dv_call_variants.log\n",
      "    jobid: 15\n",
      "    benchmark: benchmark/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.dv_call_variants.benchmark.tsv\n",
      "    reason: Missing output files: results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.snv_indels.g.vcf.gz, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.snv_indels.vcf.gz; Input files updated by another job: results/pg/hprc-v1.0-mc-grch38.chr1_25053647_25685365.ref.fa.fai, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.make_examples.tfrecord.tar.gz\n",
      "    wildcards: sample=HG002, graph=hprc-v1.0-mc-grch38.chr1_25053647_25685365, surj=surj\n",
      "    priority: 7\n",
      "    threads: 8\n",
      "    resources: tmpdir=/tmp\u001b[0m\n",
      "\u001b[32m\u001b[0m\n",
      "\u001b[33mActivating singularity image /tmp/jean/giraffe-deepvariant-rhce/.snakemake/singularity/b05b03469a87b783fcec102df49569e8.simg\u001b[0m\n",
      "/usr/bin/bash: warning: setlocale: LC_ALL: cannot change locale (en_US.UTF-8)\n",
      "\u001b[32m[Mon Apr 15 14:07:57 2024]\u001b[0m\n",
      "\u001b[32mFinished job 15.\u001b[0m\n",
      "\u001b[32m16 of 18 steps (89%) done\u001b[0m\n",
      "\u001b[33mRemoving temporary output results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.make_examples.tfrecord.tar.gz.\u001b[0m\n",
      "\u001b[33mSelect jobs to execute...\u001b[0m\n",
      "\u001b[32m\u001b[0m\n",
      "\u001b[32m[Mon Apr 15 14:07:57 2024]\u001b[0m\n",
      "\u001b[32mrule sv_call_manta:\n",
      "    input: results/pg/hprc-v1.0-mc-grch38.chr1_25053647_25685365.ref.fa, results/pg/hprc-v1.0-mc-grch38.chr1_25053647_25685365.ref.fa.fai, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.bam, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.bam.bai\n",
      "    output: results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.sv_manta.vcf.gz, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.sv_manta_candidates.vcf.gz\n",
      "    log: logs/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.manta.log\n",
      "    jobid: 17\n",
      "    benchmark: benchmark/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.manta.benchmark.tsv\n",
      "    reason: Missing output files: results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.sv_manta_candidates.vcf.gz, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.sv_manta.vcf.gz; Input files updated by another job: results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.bam, results/pg/hprc-v1.0-mc-grch38.chr1_25053647_25685365.ref.fa.fai, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.bam.bai\n",
      "    wildcards: sample=HG002, graph=hprc-v1.0-mc-grch38.chr1_25053647_25685365, surj=surj\n",
      "    priority: 6\n",
      "    threads: 8\n",
      "    resources: tmpdir=/tmp\u001b[0m\n",
      "\u001b[32m\u001b[0m\n",
      "\u001b[33mActivating singularity image /tmp/jean/giraffe-deepvariant-rhce/.snakemake/singularity/187891a74cabfdc16f5061cb9295abb3.simg\u001b[0m\n",
      "\n",
      "Successfully created workflow run script.\n",
      "To execute the workflow, run the following script and set appropriate options:\n",
      "\n",
      "/tmp/jean/giraffe-deepvariant-rhce/temp.manta.HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj/runWorkflow.py\n",
      "\u001b[32m[Mon Apr 15 14:08:01 2024]\u001b[0m\n",
      "\u001b[32mFinished job 17.\u001b[0m\n",
      "\u001b[32m17 of 18 steps (94%) done\u001b[0m\n",
      "\u001b[33mSelect jobs to execute...\u001b[0m\n",
      "\u001b[32m\u001b[0m\n",
      "\u001b[32m[Mon Apr 15 14:08:01 2024]\u001b[0m\n",
      "\u001b[32mlocalrule all:\n",
      "    input: results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.unmapped.fq.gz, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.gaf.gz, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.sorted.gam, results/HG002/hprc-v1.0-mc-grch38.chr1_25053647_25685365.sample_pg.HG002.gbz, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.bam, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.bam.bai, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.snv_indels.vcf.gz, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.snv_indels.g.vcf.gz, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.sv_manta.vcf.gz, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.sv_manta_candidates.vcf.gz, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.gt.minlen30.vcf.gz, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.coverage.q.bed.gz, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.coverage.bed.gz\n",
      "    jobid: 0\n",
      "    reason: Input files updated by another job: results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.bam.bai, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.sorted.gam, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.snv_indels.vcf.gz, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.sv_manta_candidates.vcf.gz, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.unmapped.fq.gz, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.coverage.q.bed.gz, results/HG002/hprc-v1.0-mc-grch38.chr1_25053647_25685365.sample_pg.HG002.gbz, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.sv_manta.vcf.gz, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.gaf.gz, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.coverage.bed.gz, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.bam, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.snv_indels.g.vcf.gz, results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.gt.minlen30.vcf.gz\n",
      "    resources: tmpdir=/tmp\u001b[0m\n",
      "\u001b[32m\u001b[0m\n",
      "\u001b[32m[Mon Apr 15 14:08:01 2024]\u001b[0m\n",
      "\u001b[32mFinished job 0.\u001b[0m\n",
      "\u001b[32m18 of 18 steps (100%) done\u001b[0m\n",
      "\u001b[33mComplete log: .snakemake/log/2024-04-15T140717.682512.snakemake.log\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "!snakemake --use-singularity --snakefile vg_snakemake/workflow/Snakefile --configfile smk.config.rhce.yaml --cores 8 all"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Note**: Running the pipeline produces a lot of output which might be easier to appreciate in a Terminal. Feel free to start a terminal and run the command there."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Note**: There might be an error about \"loop devices\" (`# FATAL:   container creation failed: mount /proc/self/fd/4->/var/lib/singularity/mnt/session/rootfs error: while mounting image /proc/self/fd/4: failed to find loop device: could not attach image file to loop device: no loop devices available`). If that's the case, try to re-run the command until it finishes."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's break down the *snakemake* command:\n",
    "- `--singularity-prefix /singularity_cache --use-singularity` to use containerized tools with Singularity and to look for cached tools in a specific folder (prepared for the workshop). Again this is used if using the JupyterHub with the large files included. Otherwise, if omitted, the tools will be download when needed.\n",
    "- `--snakefile vg_snakemake/workflow/Snakefile` specifies where to find the workflow definition\n",
    "- `--configfile smk.config.rhce.yaml` points to the configuration files with info about file paths and parameters. Have a look at it.\n",
    "- `--cores 8` sets the maximum number of cores used by the workflow.\n",
    "- `all` the *rule* to run. Here \"all\" means to make all the outputs."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Have a look at the files in the `results` folder.\n",
    "\n",
    "More specifically, let's have a quick look at a couple of the variants called by Giraffe-DeepVariant. They are in the `HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.snv_indels.vcf.gz` file in the `results/HG002` directory."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "##fileformat=VCFv4.2\n",
      "##FILTER=<ID=PASS,Description=\"All filters passed\">\n",
      "##FILTER=<ID=RefCall,Description=\"Genotyping model thinks this site is reference.\">\n",
      "##FILTER=<ID=LowQual,Description=\"Confidence in this variant being real is below calling threshold.\">\n",
      "##FILTER=<ID=NoCall,Description=\"Site has depth=0 resulting in no call.\">\n",
      "##INFO=<ID=END,Number=1,Type=Integer,Description=\"End position (for use with symbolic alleles)\">\n",
      "##FORMAT=<ID=GT,Number=1,Type=String,Description=\"Genotype\">\n",
      "##FORMAT=<ID=GQ,Number=1,Type=Integer,Description=\"Conditional genotype quality\">\n",
      "##FORMAT=<ID=DP,Number=1,Type=Integer,Description=\"Read depth\">\n",
      "##FORMAT=<ID=MIN_DP,Number=1,Type=Integer,Description=\"Minimum DP observed within the GVCF block.\">\n",
      "##FORMAT=<ID=AD,Number=R,Type=Integer,Description=\"Read depth for each allele\">\n",
      "##FORMAT=<ID=VAF,Number=A,Type=Float,Description=\"Variant allele fractions.\">\n",
      "##FORMAT=<ID=PL,Number=G,Type=Integer,Description=\"Phred-scaled genotype likelihoods rounded to the closest integer\">\n",
      "##FORMAT=<ID=MED_DP,Number=1,Type=Integer,Description=\"Median DP observed within the GVCF block rounded to the nearest integer.\">\n",
      "##DeepVariant_version=1.5.0\n",
      "##contig=<ID=chr1,length=631719>\n",
      "#CHROM\tPOS\tID\tREF\tALT\tQUAL\tFILTER\tINFO\tFORMAT\tHG002\n",
      "chr1\t51587\t.\tC\tT\t62.3\tPASS\t.\tGT:GQ:DP:AD:VAF:PL\t0/1:60:27:11,15:0.555556:62,0,65\n",
      "chr1\t52093\t.\tAT\tA\t33.4\tPASS\t.\tGT:GQ:DP:AD:VAF:PL\t0/1:33:33:16,16:0.484848:33,0,46\n",
      "chr1\t52158\t.\tC\tA\t0\tRefCall\t.\tGT:GQ:DP:AD:VAF:PL\t0/0:67:23:20,3:0.130435:0,67,79\n",
      "\n",
      "gzip: stdout: Broken pipe\n"
     ]
    }
   ],
   "source": [
    "!zcat results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.snv_indels.vcf.gz | head -20"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Visualize reads mapped across a variant site\n",
    "\n",
    "We want to visualize the read alignments on the pangenome at the location of a small variant that was called by the Giraffe-DeepVariant workflow.\n",
    "\n",
    "To do that, we will need three files:\n",
    "\n",
    "1. the pangenome index with the information about the nodes/edges/sequences (GBZ file)\n",
    "1. the VCF file with the small variant calls (one of the output of the workflow).\n",
    "1. the GAM file with the reads aligned to pangenome, sorted and indexed (another output of the workflow).\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "PAN_IDX = 'rhce_data/hprc-v1.0-mc-grch38.chr1_25053647_25685365.gbz'\n",
    "SMALL_VCF = 'results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.surj.snv_indels.vcf.gz'\n",
    "SORTED_GAM = 'results/HG002/HG002.hprc-v1.0-mc-grch38.chr1_25053647_25685365.sorted.gam'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will be looking at variants called by the Giraffe/DeepVariant pipeline **in an exon of RHCE**.\n",
    "For example, take a look at this region in the UCSC Genome Browser: [chr1:25408683-25408869](https://genome.ucsc.edu/cgi-bin/hgTracks?db=hg38&position=chr1%3A25408683%2D25408869).\n",
    "\n",
    "**Note**: the pangenome that we use for this demo is a slice of the genome, starting at 25053647, so we have to remove this offset to get the appropriate coordinates in this slice."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "In this slice of the pangenome, the region of interest is at: chr1:355036-355222\n"
     ]
    }
   ],
   "source": [
    "coord_wg  = [25408683, 25408869] ## coordinate relative to the whole genome\n",
    "offset    = 25053647\n",
    "coord_sub = [pos - offset for pos in coord_wg] ## coordinate relative to our slice\n",
    "\n",
    "region_subset = 'chr1:{}-{}'.format(coord_sub[0], coord_sub[1])\n",
    "print(\"In this slice of the pangenome, the region of interest is at: \" + region_subset)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Find variant in the VCF\n",
    "\n",
    "**Open the VCF with the cyvcf2 package.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "vcf_reader = cyvcf2.VCF(SMALL_VCF)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Loop over the variant in the region of interest.\n",
    "If a variant is homozygous for the alternate allele, we record its position and stop.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "chr1\t355064\t.\tG\tA\t17.5\tPASS\t.\tGT:GQ:DP:AD:VAF:PL\t1/1:14:31:0,31:1:17,16,0\n",
      "\n",
      "There is a variant at position 355063\n"
     ]
    }
   ],
   "source": [
    "var_pos = ''\n",
    "for record in vcf_reader('chr1:{}-{}'.format(coord_sub[0], coord_sub[1])):\n",
    "    if record.genotypes[0][0] == 1 and record.genotypes[0][1] == 1:\n",
    "        print(record)\n",
    "        var_pos = record.start\n",
    "        break\n",
    "print('There is a variant at position {}'.format(var_pos))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Note:** This is the variant that we will look for in the pangenome and in the aligned reads."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Extract & visualize graph around the variant\n",
    "\n",
    "To zoom in to the region around the variant site, we will extract the subgraph around this region.\n",
    "In practice, we use a subcommand of `vg` to locate the subset of the pangenome of interest, and extract nodes and edges close to it.\n",
    "The most common type query is to look for a sub-region of the reference path (GRCh38 here), and then add the additional nodes/edges touching it. \n",
    "\n",
    "**Extract the graph region with `vg find`**\n",
    "* `-p` extracts a subgraph touching a region defined as *PATH:START-END*.\n",
    "Here we defined it in the *region* object above.\n",
    "* `-c` defines the **c**ontext that the subgraph should include around the queried path. Here we extend by 2 nodes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "region = 'GRCh38.chr1:{}-{}'.format(var_pos, var_pos)\n",
    "!vg find -x {PAN_IDX} -p {region} -c 2 > graph.vg"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The subgraph was written in a VG file. This file can be converted to different formats using `vg view`. \n",
    "For example, you could convert it to GFA and visualize it with [Bandage](https://rrwick.github.io/Bandage/).\n",
    "We can also convert it to [DOT](https://en.wikipedia.org/wiki/DOT_%28graph_description_language%29) (a graph description language) and create an image with the `dot` command.\n",
    "\n",
    "**Now view the graph region**\n",
    "- `vg view` with the `-d` will convert a graph into a **D**OT file.\n",
    "- `-p` shows the **p**ath(s), here the *GRCh38.chr6* reference path.\n",
    "- `-C` **c**olors the non-reference nodes in red.\n",
    "- `dot` converts the DOT output into a PNG image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "!vg view -dpC graph.vg | dot -Tpng -o graph.png\n",
    "display(Image(filename=\"graph.png\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*It looks like our G/A SNV is in the pangenome. Node 3778176 represent the reference *G* allele.*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Extract reads around the variant"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Use vg find to extract all reads touching the subgraph that we just looked at above.**\n",
    "- `-l` specifies the (sorted and indexed) reads to query.\n",
    "- `-A` specifies to query the subgraph *graph.vg* to query.\n",
    "- `-a` count the number of line in the JSON representation of the reads."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "74\n"
     ]
    }
   ],
   "source": [
    "!vg find -A graph.vg -l {SORTED_GAM} > reads.gam\n",
    "!vg view -a reads.gam | wc -l"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "That's a lot of reads! If we add all of them in the image, it will be hard to see what is going on.\n",
    "\n",
    "**Let's downsample them to make less busy images.**\n",
    "* `-d 0.XX` downsample to XX% of the reads"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "11\n"
     ]
    }
   ],
   "source": [
    "!vg find -A graph.vg -l {SORTED_GAM} | vg filter -d 0.1 - > reads.10pct.gam\n",
    "!vg view -a reads.10pct.gam | wc -l"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualize graph and reads with vg\n",
    "\n",
    "We use a similar `vg view` command as above. The only difference is that we specify the reads with `-A`, and use `-m` to disregard mapping to nodes absent from the subgraph."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "!vg view -A reads.10pct.gam -dpmC graph.vg | dot -Tpng -o graph.reads.png"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(Image(filename=\"graph.reads.png\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*We see that all reads align through the non-reference node. This is consistent with the SNV being homozygous.*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Optional. Try the sequenceTubeMap\n",
    "\n",
    "This approach can be useful to look at a small subgraph or automate image creation. \n",
    "For other use cases, we tend to use the interactive (and better-looking) [SequenceTubeMap](https://github.com/vgteam/sequenceTubeMap). \n",
    "\n",
    "To visualize and navigate across a large pangenome and full read dataset, you would need to start a sequenceTubeMap server yourself. In the context of this workshop, **we've prepared a sequenceTubeMap server with this pangenome and reads already loaded**. \n",
    "\n",
    "Access it through the landing page then use the *Region* field to navigate to the correct position in the pangenome.\n",
    "\n",
    "To manipulate the tubemap, you can:\n",
    "- Hold-click to move horizontally\n",
    "- Scroll to zoom in/out\n",
    "- Change some visualization settings in the configuration panel below the graph."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![](tubemap.screenshot.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Where would one read map to the linear reference genome?\n",
    "\n",
    "We've just saw that the variant site was present in the pangenome and that reads align through it. \n",
    "Because the reads are mapped there, once they were projected to GRCh38 and fed to DeepVariant, the appropriate homozygous SNV was called.\n",
    "\n",
    "Variants in this region are actually missed when mapping the reads to the linear reference genome GRCh38. \n",
    "Let's try to figure out why by matching the sequence of one of those reads with GRCh38.\n",
    "\n",
    "First, let's find the sequence of one read. \n",
    "We use `vg view` to convert the small GAM file (with only the reads in the region of interest) to JSON.\n",
    "Below, `head` is used to select the first read, and `jq` is used to format the JSON output nicely."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1;39m{\n",
      "  \u001b[0m\u001b[34;1m\"annotation\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[1;39m{\n",
      "    \u001b[0m\u001b[34;1m\"proper_pair\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;39mtrue\u001b[0m\u001b[1;39m\n",
      "  \u001b[1;39m}\u001b[0m\u001b[1;39m,\n",
      "  \u001b[0m\u001b[34;1m\"fragment_prev\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[1;39m{\n",
      "    \u001b[0m\u001b[34;1m\"name\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;32m\"A00744:46:HV3C3DSXX:2:2304:23538:32675\"\u001b[0m\u001b[1;39m\n",
      "  \u001b[1;39m}\u001b[0m\u001b[1;39m,\n",
      "  \u001b[0m\u001b[34;1m\"identity\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;39m1\u001b[0m\u001b[1;39m,\n",
      "  \u001b[0m\u001b[34;1m\"mapping_quality\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;39m1\u001b[0m\u001b[1;39m,\n",
      "  \u001b[0m\u001b[34;1m\"name\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;32m\"A00744:46:HV3C3DSXX:2:2304:23538:32675\"\u001b[0m\u001b[1;39m,\n",
      "  \u001b[0m\u001b[34;1m\"path\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[1;39m{\n",
      "    \u001b[0m\u001b[34;1m\"mapping\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[1;39m[\n",
      "      \u001b[1;39m{\n",
      "        \u001b[0m\u001b[34;1m\"edit\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[1;39m[\n",
      "          \u001b[1;39m{\n",
      "            \u001b[0m\u001b[34;1m\"from_length\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;39m2\u001b[0m\u001b[1;39m,\n",
      "            \u001b[0m\u001b[34;1m\"to_length\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;39m2\u001b[0m\u001b[1;39m\n",
      "          \u001b[1;39m}\u001b[0m\u001b[1;39m\n",
      "        \u001b[1;39m]\u001b[0m\u001b[1;39m,\n",
      "        \u001b[0m\u001b[34;1m\"position\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[1;39m{\n",
      "          \u001b[0m\u001b[34;1m\"node_id\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;32m\"3778174\"\u001b[0m\u001b[1;39m,\n",
      "          \u001b[0m\u001b[34;1m\"offset\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;32m\"50\"\u001b[0m\u001b[1;39m\n",
      "        \u001b[1;39m}\u001b[0m\u001b[1;39m,\n",
      "        \u001b[0m\u001b[34;1m\"rank\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;32m\"1\"\u001b[0m\u001b[1;39m\n",
      "      \u001b[1;39m}\u001b[0m\u001b[1;39m,\n",
      "      \u001b[1;39m{\n",
      "        \u001b[0m\u001b[34;1m\"edit\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[1;39m[\n",
      "          \u001b[1;39m{\n",
      "            \u001b[0m\u001b[34;1m\"from_length\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;39m1\u001b[0m\u001b[1;39m,\n",
      "            \u001b[0m\u001b[34;1m\"to_length\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;39m1\u001b[0m\u001b[1;39m\n",
      "          \u001b[1;39m}\u001b[0m\u001b[1;39m\n",
      "        \u001b[1;39m]\u001b[0m\u001b[1;39m,\n",
      "        \u001b[0m\u001b[34;1m\"position\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[1;39m{\n",
      "          \u001b[0m\u001b[34;1m\"node_id\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;32m\"3778172\"\u001b[0m\u001b[1;39m\n",
      "        \u001b[1;39m}\u001b[0m\u001b[1;39m,\n",
      "        \u001b[0m\u001b[34;1m\"rank\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;32m\"2\"\u001b[0m\u001b[1;39m\n",
      "      \u001b[1;39m}\u001b[0m\u001b[1;39m,\n",
      "      \u001b[1;39m{\n",
      "        \u001b[0m\u001b[34;1m\"edit\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[1;39m[\n",
      "          \u001b[1;39m{\n",
      "            \u001b[0m\u001b[34;1m\"from_length\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;39m50\u001b[0m\u001b[1;39m,\n",
      "            \u001b[0m\u001b[34;1m\"to_length\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;39m50\u001b[0m\u001b[1;39m\n",
      "          \u001b[1;39m}\u001b[0m\u001b[1;39m\n",
      "        \u001b[1;39m]\u001b[0m\u001b[1;39m,\n",
      "        \u001b[0m\u001b[34;1m\"position\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[1;39m{\n",
      "          \u001b[0m\u001b[34;1m\"node_id\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;32m\"3778171\"\u001b[0m\u001b[1;39m\n",
      "        \u001b[1;39m}\u001b[0m\u001b[1;39m,\n",
      "        \u001b[0m\u001b[34;1m\"rank\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;32m\"3\"\u001b[0m\u001b[1;39m\n",
      "      \u001b[1;39m}\u001b[0m\u001b[1;39m,\n",
      "      \u001b[1;39m{\n",
      "        \u001b[0m\u001b[34;1m\"edit\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[1;39m[\n",
      "          \u001b[1;39m{\n",
      "            \u001b[0m\u001b[34;1m\"from_length\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;39m1\u001b[0m\u001b[1;39m,\n",
      "            \u001b[0m\u001b[34;1m\"to_length\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;39m1\u001b[0m\u001b[1;39m\n",
      "          \u001b[1;39m}\u001b[0m\u001b[1;39m\n",
      "        \u001b[1;39m]\u001b[0m\u001b[1;39m,\n",
      "        \u001b[0m\u001b[34;1m\"position\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[1;39m{\n",
      "          \u001b[0m\u001b[34;1m\"node_id\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;32m\"3778169\"\u001b[0m\u001b[1;39m\n",
      "        \u001b[1;39m}\u001b[0m\u001b[1;39m,\n",
      "        \u001b[0m\u001b[34;1m\"rank\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;32m\"4\"\u001b[0m\u001b[1;39m\n",
      "      \u001b[1;39m}\u001b[0m\u001b[1;39m,\n",
      "      \u001b[1;39m{\n",
      "        \u001b[0m\u001b[34;1m\"edit\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[1;39m[\n",
      "          \u001b[1;39m{\n",
      "            \u001b[0m\u001b[34;1m\"from_length\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;39m1\u001b[0m\u001b[1;39m,\n",
      "            \u001b[0m\u001b[34;1m\"to_length\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;39m1\u001b[0m\u001b[1;39m\n",
      "          \u001b[1;39m}\u001b[0m\u001b[1;39m\n",
      "        \u001b[1;39m]\u001b[0m\u001b[1;39m,\n",
      "        \u001b[0m\u001b[34;1m\"position\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[1;39m{\n",
      "          \u001b[0m\u001b[34;1m\"node_id\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;32m\"3778168\"\u001b[0m\u001b[1;39m\n",
      "        \u001b[1;39m}\u001b[0m\u001b[1;39m,\n",
      "        \u001b[0m\u001b[34;1m\"rank\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;32m\"5\"\u001b[0m\u001b[1;39m\n",
      "      \u001b[1;39m}\u001b[0m\u001b[1;39m,\n",
      "      \u001b[1;39m{\n",
      "        \u001b[0m\u001b[34;1m\"edit\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[1;39m[\n",
      "          \u001b[1;39m{\n",
      "            \u001b[0m\u001b[34;1m\"from_length\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;39m1\u001b[0m\u001b[1;39m,\n",
      "            \u001b[0m\u001b[34;1m\"to_length\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;39m1\u001b[0m\u001b[1;39m\n",
      "          \u001b[1;39m}\u001b[0m\u001b[1;39m\n",
      "        \u001b[1;39m]\u001b[0m\u001b[1;39m,\n",
      "        \u001b[0m\u001b[34;1m\"position\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[1;39m{\n",
      "          \u001b[0m\u001b[34;1m\"node_id\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;32m\"3778166\"\u001b[0m\u001b[1;39m\n",
      "        \u001b[1;39m}\u001b[0m\u001b[1;39m,\n",
      "        \u001b[0m\u001b[34;1m\"rank\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;32m\"6\"\u001b[0m\u001b[1;39m\n",
      "      \u001b[1;39m}\u001b[0m\u001b[1;39m,\n",
      "      \u001b[1;39m{\n",
      "        \u001b[0m\u001b[34;1m\"edit\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[1;39m[\n",
      "          \u001b[1;39m{\n",
      "            \u001b[0m\u001b[34;1m\"from_length\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;39m22\u001b[0m\u001b[1;39m,\n",
      "            \u001b[0m\u001b[34;1m\"to_length\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;39m22\u001b[0m\u001b[1;39m\n",
      "          \u001b[1;39m}\u001b[0m\u001b[1;39m\n",
      "        \u001b[1;39m]\u001b[0m\u001b[1;39m,\n",
      "        \u001b[0m\u001b[34;1m\"position\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[1;39m{\n",
      "          \u001b[0m\u001b[34;1m\"node_id\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;32m\"3778165\"\u001b[0m\u001b[1;39m\n",
      "        \u001b[1;39m}\u001b[0m\u001b[1;39m,\n",
      "        \u001b[0m\u001b[34;1m\"rank\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;32m\"7\"\u001b[0m\u001b[1;39m\n",
      "      \u001b[1;39m}\u001b[0m\u001b[1;39m,\n",
      "      \u001b[1;39m{\n",
      "        \u001b[0m\u001b[34;1m\"edit\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[1;39m[\n",
      "          \u001b[1;39m{\n",
      "            \u001b[0m\u001b[34;1m\"from_length\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;39m1\u001b[0m\u001b[1;39m,\n",
      "            \u001b[0m\u001b[34;1m\"to_length\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;39m1\u001b[0m\u001b[1;39m\n",
      "          \u001b[1;39m}\u001b[0m\u001b[1;39m\n",
      "        \u001b[1;39m]\u001b[0m\u001b[1;39m,\n",
      "        \u001b[0m\u001b[34;1m\"position\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[1;39m{\n",
      "          \u001b[0m\u001b[34;1m\"node_id\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;32m\"3778163\"\u001b[0m\u001b[1;39m\n",
      "        \u001b[1;39m}\u001b[0m\u001b[1;39m,\n",
      "        \u001b[0m\u001b[34;1m\"rank\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;32m\"8\"\u001b[0m\u001b[1;39m\n",
      "      \u001b[1;39m}\u001b[0m\u001b[1;39m,\n",
      "      \u001b[1;39m{\n",
      "        \u001b[0m\u001b[34;1m\"edit\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[1;39m[\n",
      "          \u001b[1;39m{\n",
      "            \u001b[0m\u001b[34;1m\"from_length\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;39m27\u001b[0m\u001b[1;39m,\n",
      "            \u001b[0m\u001b[34;1m\"to_length\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;39m27\u001b[0m\u001b[1;39m\n",
      "          \u001b[1;39m}\u001b[0m\u001b[1;39m\n",
      "        \u001b[1;39m]\u001b[0m\u001b[1;39m,\n",
      "        \u001b[0m\u001b[34;1m\"position\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[1;39m{\n",
      "          \u001b[0m\u001b[34;1m\"node_id\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;32m\"3778162\"\u001b[0m\u001b[1;39m\n",
      "        \u001b[1;39m}\u001b[0m\u001b[1;39m,\n",
      "        \u001b[0m\u001b[34;1m\"rank\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;32m\"9\"\u001b[0m\u001b[1;39m\n",
      "      \u001b[1;39m}\u001b[0m\u001b[1;39m,\n",
      "      \u001b[1;39m{\n",
      "        \u001b[0m\u001b[34;1m\"edit\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[1;39m[\n",
      "          \u001b[1;39m{\n",
      "            \u001b[0m\u001b[34;1m\"from_length\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;39m1\u001b[0m\u001b[1;39m,\n",
      "            \u001b[0m\u001b[34;1m\"to_length\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;39m1\u001b[0m\u001b[1;39m\n",
      "          \u001b[1;39m}\u001b[0m\u001b[1;39m\n",
      "        \u001b[1;39m]\u001b[0m\u001b[1;39m,\n",
      "        \u001b[0m\u001b[34;1m\"position\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[1;39m{\n",
      "          \u001b[0m\u001b[34;1m\"node_id\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;32m\"3778160\"\u001b[0m\u001b[1;39m\n",
      "        \u001b[1;39m}\u001b[0m\u001b[1;39m,\n",
      "        \u001b[0m\u001b[34;1m\"rank\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;32m\"10\"\u001b[0m\u001b[1;39m\n",
      "      \u001b[1;39m}\u001b[0m\u001b[1;39m,\n",
      "      \u001b[1;39m{\n",
      "        \u001b[0m\u001b[34;1m\"edit\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[1;39m[\n",
      "          \u001b[1;39m{\n",
      "            \u001b[0m\u001b[34;1m\"from_length\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;39m20\u001b[0m\u001b[1;39m,\n",
      "            \u001b[0m\u001b[34;1m\"to_length\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;39m20\u001b[0m\u001b[1;39m\n",
      "          \u001b[1;39m}\u001b[0m\u001b[1;39m\n",
      "        \u001b[1;39m]\u001b[0m\u001b[1;39m,\n",
      "        \u001b[0m\u001b[34;1m\"position\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[1;39m{\n",
      "          \u001b[0m\u001b[34;1m\"node_id\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;32m\"3778159\"\u001b[0m\u001b[1;39m\n",
      "        \u001b[1;39m}\u001b[0m\u001b[1;39m,\n",
      "        \u001b[0m\u001b[34;1m\"rank\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;32m\"11\"\u001b[0m\u001b[1;39m\n",
      "      \u001b[1;39m}\u001b[0m\u001b[1;39m,\n",
      "      \u001b[1;39m{\n",
      "        \u001b[0m\u001b[34;1m\"edit\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[1;39m[\n",
      "          \u001b[1;39m{\n",
      "            \u001b[0m\u001b[34;1m\"from_length\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;39m1\u001b[0m\u001b[1;39m,\n",
      "            \u001b[0m\u001b[34;1m\"to_length\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;39m1\u001b[0m\u001b[1;39m\n",
      "          \u001b[1;39m}\u001b[0m\u001b[1;39m\n",
      "        \u001b[1;39m]\u001b[0m\u001b[1;39m,\n",
      "        \u001b[0m\u001b[34;1m\"position\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[1;39m{\n",
      "          \u001b[0m\u001b[34;1m\"node_id\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;32m\"3778157\"\u001b[0m\u001b[1;39m\n",
      "        \u001b[1;39m}\u001b[0m\u001b[1;39m,\n",
      "        \u001b[0m\u001b[34;1m\"rank\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;32m\"12\"\u001b[0m\u001b[1;39m\n",
      "      \u001b[1;39m}\u001b[0m\u001b[1;39m,\n",
      "      \u001b[1;39m{\n",
      "        \u001b[0m\u001b[34;1m\"edit\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[1;39m[\n",
      "          \u001b[1;39m{\n",
      "            \u001b[0m\u001b[34;1m\"from_length\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;39m23\u001b[0m\u001b[1;39m,\n",
      "            \u001b[0m\u001b[34;1m\"to_length\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;39m23\u001b[0m\u001b[1;39m\n",
      "          \u001b[1;39m}\u001b[0m\u001b[1;39m\n",
      "        \u001b[1;39m]\u001b[0m\u001b[1;39m,\n",
      "        \u001b[0m\u001b[34;1m\"position\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[1;39m{\n",
      "          \u001b[0m\u001b[34;1m\"node_id\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;32m\"3778156\"\u001b[0m\u001b[1;39m\n",
      "        \u001b[1;39m}\u001b[0m\u001b[1;39m,\n",
      "        \u001b[0m\u001b[34;1m\"rank\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;32m\"13\"\u001b[0m\u001b[1;39m\n",
      "      \u001b[1;39m}\u001b[0m\u001b[1;39m\n",
      "    \u001b[1;39m]\u001b[0m\u001b[1;39m\n",
      "  \u001b[1;39m}\u001b[0m\u001b[1;39m,\n",
      "  \u001b[0m\u001b[34;1m\"quality\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;32m\"JSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlGSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlGRklJSUlGQ==\"\u001b[0m\u001b[1;39m,\n",
      "  \u001b[0m\u001b[34;1m\"score\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;39m161\u001b[0m\u001b[1;39m,\n",
      "  \u001b[0m\u001b[34;1m\"sequence\"\u001b[0m\u001b[1;39m: \u001b[0m\u001b[0;32m\"GCGCCAGCATGAAGAGGTTGAAGGCCACACTGCTCCAGCTGTGTCTCCGGAAACTCGAGGTGAGGAAGCCCAAGCCAATGGCCGCCATCACGGTCAGATCTTGGCCAACTGCTCGGTGGGGAGATGGCGAGAAGGAGGAGGGGGAAGCAGA\"\u001b[0m\u001b[1;39m\n",
      "\u001b[1;39m}\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "!vg view -a reads.gam | head -1 | jq"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `sequence` field in the JSON output contains the sequence of the read."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[0;32m\"GCGCCAGCATGAAGAGGTTGAAGGCCACACTGCTCCAGCTGTGTCTCCGGAAACTCGAGGTGAGGAAGCCCAAGCCAATGGCCGCCATCACGGTCAGATCTTGGCCAACTGCTCGGTGGGGAGATGGCGAGAAGGAGGAGGGGGAAGCAGA\"\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "!vg view -a reads.gam | head -1 | jq .sequence"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's BLAT this sequence to the GRCh38 reference to see where this read would align best. For that, we can use the [UCSC Genome Browser BLAT Search](https://genome.ucsc.edu/cgi-bin/hgBlat?hgsid=1479064581_Nrp95QbnzkU7WfTiCvsX53igqcAc&command=start)."
   ]
  }
 ],
 "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": "3.9.19"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}