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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/lamm-mit-pysam
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About
Use cases: testing, data, writing
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/pysam
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
- 258 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
- Instructions call the network
Files (7)
- SKILL.md
- alignment_files.md · references/
- common_workflows.md · references/
- sequence_files.md · references/
- variant_files.md · references/
- demo.cpython-313.pyc · scripts/__pycache__/
- demo.py · scripts/
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 lamm-mit/scienceclaw, MIT.
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Signals
- Stars
- 250
- Forks
- 47
- Open issues
- 1
- Last commit (this folder)
- Mar 14, 2026 (7 months ago)
- Last release
- Jun 23, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/lamm-mit/scienceclaw
- 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/lamm-mit-pysam (last updated 2026-10-24)