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pysam

pysam

Routes agents using pysam for SAM/BAM/CRAM, VCF/BCF, tabix-indexed tables, FASTA/FASTQ, bundled samtools/bcftools wrappers, and installation or build troubleshooting.

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: pysam description: "Routes agents using pysam for SAM/BAM/CRAM, VCF/BCF, tabix-indexed tables, FASTA/FASTQ, bundled samtools/bcftools wrappers, and installation or build troubleshooting." disable-model-invocation: true metadata: disco-role: operating license: MIT

pysam

Use this repo skill when a task involves the Python package pysam: reading or writing high-throughput sequencing files, manipulating alignments or variants, indexing genomic interval files, fetching FASTA/FASTQ records, calling bundled samtools/bcftools commands from Python, or diagnosing install/build/import failures.

Start Here

  • Read references/package-overview.md for the package scope, install options, verified version facts, and route summary.
  • Read references/troubleshooting.md for cross-cutting setup, coordinate, index, and routing failures.
  • Read references/repo-provenance.md before deciding whether this skill is current for a specific checkout.
  • Run scripts/check_pysam_environment.py when you need a source-free import and smoke diagnostic for the active Python environment.

Install and Minimal Check

Prefer Bioconda when users want the most reliable install path:

conda config --add channels bioconda
conda config --add channels conda-forge
conda config --set channel_priority strict
conda install pysam

PyPI wheels are usually enough for ordinary Python use:

python -m pip install pysam
python -c 'import pysam; print(pysam.__version__)'

For a deeper package check, run:

python scripts/check_pysam_environment.py

Route by Task

User taskRead
Open, read, write, index, fetch, count, or pile up SAM/BAM/CRAM data; edit AlignedSegment flags, CIGAR, tags, sequence, or qualitiessub-skills/alignment-io/SKILL.md
Read, write, filter, subset, or construct VCF/BCF files with VariantFile, VariantHeader, VariantRecord, INFO/FORMAT/sample fields, or indexed fetchessub-skills/variant-io/SKILL.md
Compress/index/fetch tabix tables; parse BED/GTF/GFF/VCF rows; use FastaFile, FastxFile, or FASTQ quality arrayssub-skills/tabix-fasta/SKILL.md
Translate shell samtools/bcftools commands into Python calls; handle catch_stdout, save_stdout, usage(), get_messages(), or SamtoolsErrorsub-skills/command-wrappers/SKILL.md
Install pysam, build from source, link external htslib, compile Cython extensions, migrate legacy csamtools names, or inspect build helperssub-skills/troubleshooting-build/SKILL.md

Common Routing Decisions

  • If a user asks about BAM rows, reads, CIGAR strings, pileup columns, or unmapped reads, start with alignment-io even when the final solution also calls samtools.
  • If a user asks about VCF header metadata, sample genotypes, INFO/FORMAT types, or record writing, start with variant-io even when the file is tabix-indexed.
  • If a user asks about generic compressed BED/GTF/GFF tables or FASTA/FASTQ sequence access, start with tabix-fasta.
  • If a user gives a shell command such as samtools sort, samtools faidx, bcftools view, or bcftools query and wants Python code, start with command-wrappers.
  • If import pysam or installation fails before any data workflow can run, start with troubleshooting-build.

Coordinate and Index Defaults

  • pysam Python integer intervals are usually 0-based and half-open.
  • Region strings such as chr1:101-200 follow samtools-style 1-based inclusive conventions.
  • AlignmentFile.fetch() and VariantFile.fetch() require an appropriate index for random access; use sequential modes only when the workflow supports them.
  • Tabix random access requires BGZF compression and a .tbi or .csi index.
  • FASTA random access uses .fai indexes; FASTQ streaming uses FastxFile and does not require random-access indexing.

Bundled Helpers

  • scripts/check_pysam_environment.py verifies imports, versions, command wrapper presence, and tiny source-free operations across the major routes.
  • sub-skills/alignment-io/scripts/alignment_smoke.py creates a tiny BAM and exercises alignment reads, indexing, coverage, pileup, and quality helpers.
  • sub-skills/variant-io/scripts/variant_smoke.py writes and reads a tiny VCF with INFO/FORMAT/sample fields.
  • sub-skills/tabix-fasta/scripts/tabix_fasta_smoke.py creates tiny tabix, FASTA, and FASTQ fixtures.
  • sub-skills/command-wrappers/scripts/command_wrapper_smoke.py checks dispatcher usage, stdout handling, and safe samtools command behavior.
  • sub-skills/troubleshooting-build/scripts/inspect_build_config.py prints redacted build/import diagnostics.

What This Skill Does Not Cover

  • It does not teach general genomics biology or variant interpretation beyond file/API mechanics.
  • It does not require the original pysam source checkout for runtime use.
  • It does not cover maintainer release engineering beyond install/build and extension-development troubleshooting.
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