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About
Use cases: testing, data, writing
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What's inside
- Skill name
pysam- Description
- Genomic file toolkit. Read/write SAM/BAM/CRAM alignments, VCF/BCF variants, FASTA/FASTQ sequences, extract regions, calculate coverage, for NGS data processing pipelines.
- License
- MIT
- Metadata
- skill-author: K-Dense Inc.
- Instructions
- 257 lines in SKILL.md · view on GitHub
Before installing
- Instructions call the network
Files (5)
- SKILL.md
- alignment_files.md · references/
- common_workflows.md · references/
- sequence_files.md · references/
- variant_files.md · references/
SKILL.md (first lines)
# Pysam
## Overview
Pysam is a Python module for reading, manipulating, and writing genomic datasets. Read/write SAM/BAM/CRAM alignment files, VCF/BCF variant files, and FASTA/FASTQ sequences with a Pythonic interface to htslib. Query tabix-indexed files, perform pileup analysis for coverage, and execute samtools/bcftools commands.
## When to Use This Skill
This skill should be used when:
- Working with sequencing alignment files (BAM/CRAM)
- Analyzing genetic variants (VCF/BCF)
- Extracting reference sequences or gene regions
- Processing raw sequencing data (FASTQ)
- Calculating coverage or read depth
- Implementing bioinformatics analysis pipelines
- Quality control of sequencing data
- Variant calling and annotation workflows
## Quick Start
### Installation
```bash
uv pip install pysam
```
### Basic Examples
**Read alignment file:**
```python
import pysam
# Open BAM file and fetch reads in region
samfile = pysam.AlignmentFile("example.bam", "rb")
for read in samfile.fetch("chr1", 1000, 2000):
print(f"{read.query_name}: {read.reference_start}")
samfile.close()
```
**Read variant file:**
```python
# Open VCF file and iterate variants
vcf = pysam.VariantFile("variants.vcf")
for variant in vcf:
print(f"{variant.chrom}:{variant.pos} {variant.ref}>{variant.alts}")
vcf.close()
```
**Query reference sequence:**
```python
# Open FASTA and extract sequence
fasta = pysam.FastaFile("reference.fasta")
sequence = fasta.fetch("chr1", 1000, 2000)
print(sequence)
fasta.close()
```
## Core Capabilities
### 1. Alignment File Operations (SAM/BAM/CRAM)
Use the `AlignmentFile` class to work with aligned sequencing reads. This is appropriate for analyzing mapping results, calculating coverage, extracting reads, or quality control.
**Common operations:**
- Open and read BAM/SAM/CRAM files
- Fetch reads from specific genomic regions
- Filter reads by mapping quality, flags, or other criteria
- Write filtered or modified alignments
- Calculate coverage statistics
- Perform pileup analysis (base-by-base coverage)
- Access read sequences, quality scores, and alignment information
**Reference:** See `references/alignment_files.md` for detailed documentation on:
- Opening and reading alignment files
- AlignedSegment attributes and methods
- Region-based fetching with `fetch()`
- Pileup analysis for coverage
- Writing and creating BAM files
- Coordinate systems and indexing
- Performance optimization tips
### 2. Variant File Operations (VCF/BCF)
Use the `VariantFile` class to work with genetic variants from variant calling pipelines. This is appropriate for variant analysis, filtering, annotation, or population genetics.
**Common operations:**
- Read and write VCF/BCF files
- Query variants in specific regions
- Access variant information (position, alleles, quality)
- Extract genotype data for samples
- Filter variants by quality, allele frequency, or other criteria
- Annotate variants with additional information
- Subset samples or regions
**Reference:** See `references/variant_files.md` for detailed documentation on:
- Opening and reading variant files
- VariantRecord attributes and methods
- Accessing INFO and FORMAT fields
- Working with genotypes and samples
- Creating and writing VCF files
- Filtering and subsetting variants
- Multi-sample VCF operations
### 3. Sequence File Operations (FASTA/FASTQ)
Use `FastaFile` for random access to reference sequences and `FastxFile` for reading raw sequencing data. This is appropriate for extracting gene sequences, validating variants against reference, or processing raw reads.
**Common operations:**
- Query reference sequences by genomic coordinates
- Extract sequences for genes or regions of interest
- Read FASTQ files with quality scores
- Validate variant reference alleles
- Calculate sequence statistics
- Filter reads by quality or length
- Convert between FASTA and FASTQ formats
**Reference:** See `references/sequence_files.md` for detailed documentation on:
- FASTA file access and indexing
- Extracting sequences by region
- Handling reverse complement for genesFrom qinyan-ai/qinyan-academic-skills, MIT.
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Signals
- Stars
- 87
- Forks
- 7
- Open issues
- 0
- Last commit (this folder)
- Mar 9, 2026 (7 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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pysam skill. Agent Mart. https://agentmart.dev/skills/qinyan-ai-pysam (last updated 2026-10-24)