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samtools-bam-processing

samtools-bam-processing provides command-line utilities for manipulating sequence alignment files in SAM, BAM, and CRAM formats. Use this skill to sort and index BAM files after alignment, convert between formats to save storage, generate alignment quality control statistics, filter reads by quality or flags, mark duplicates, merge multiple BAM files, and calculate per-base coverage depth. This toolkit is essential in standard NGS pipelines occurring between the alignment step and downstream variant or peak calling.

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git clone --depth 1 https://github.com/jaechang-hits/SciAgent-Skills /tmp/samtools-bam-processing && cp -r /tmp/samtools-bam-processing/skills/genomics-bioinformatics/alignment/samtools-bam-processing ~/.claude/skills/samtools-bam-processing
Then start a new Claude Code session; the skill loads automatically.

SKILL.md

# samtools — SAM/BAM/CRAM Alignment Toolkit

## Overview

samtools is the standard command-line toolkit for processing sequence alignment files in SAM, BAM, and CRAM formats. It handles the complete alignment file lifecycle: format conversion, coordinate sorting, index creation, quality control statistics, read filtering, duplicate marking, and multi-file merging. samtools is a near-universal component of NGS pipelines between alignment (STAR, BWA) and downstream analysis (variant calling, peak calling, coverage).

## When to Use

- Sorting BAM files by coordinate after alignment (required before indexing)
- Indexing sorted BAM files for random access and region queries
- Converting between SAM, BAM, and CRAM formats to save storage
- Generating alignment QC metrics: mapping rates, insert sizes, per-chromosome stats
- Filtering reads by mapping quality, FLAG bits, or genomic regions
- Marking or removing PCR duplicates before variant calling
- Merging multiple BAM files from different lanes or samples
- Calculating per-base depth or coverage breadth for target regions
- Use `pysam` instead for Python-native BAM manipulation in custom scripts
- Use `deeptools bamCoverage` instead when you need normalized bigWig coverage tracks
- Use `mosdepth` instead for whole-genome per-base depth (faster, parallelized)

## Prerequisites

- **Installation**: samtools 1.17+ recommended
- **Input requirements**: SAM/BAM/CRAM files; CRAM requires FASTA reference
- **Companion tools**: `samtools faidx` for FASTA indexing; `samtools sort` before `samtools index`

> **Check before installing**: The tool may already be available in the current environment (e.g., inside a `pixi` / `conda` env). Run `command -v samtools` first and skip the install commands below if it returns a path. When running inside a pixi project, invoke the tool via `pixi run samtools` rather than bare `samtools`.

```bash
# Bioconda (recommended)
conda install -c bioconda samtools

# Homebrew (macOS)
brew install samtools

# Verify
samtools --version | head -1
```

## Quick Start

```bash
# Typical post-alignment workflow: sort → index → QC
samtools sort -@ 8 -o sorted.bam input.bam
samtools index sorted.bam
samtools flagstat sorted.bam
```

## Core API

### Module 1: BAM/SAM I/O and Format Conversion

Convert between SAM/BAM/CRAM formats and extract subsets.

```bash
# SAM → BAM (saves ~75% disk space)
samtools view -b -h input.sam -o output.bam

# BAM → CRAM (saves additional 40-50%)
samtools view -C -T reference.fa input.bam -o output.cram

# Filter: mapping quality ≥20, exclude unmapped (-F 4)
samtools view -q 20 -F 4 input.bam -o filtered.bam

# Extract specific region (requires index)
samtools view -h sorted.bam "chr1:1000000-2000000" -o region.bam

# Count reads matching filter
samtools view -c -F 4 input.bam
# Output: 45231923 (number of mapped reads)
```

```bash
# Extract reads as FASTQ (for realignment or de novo assembly)
samtools fastq -@ 4 -1 R1.fastq.gz -2 R2.fastq.gz -0 unpaired.fastq.gz input.bam

# Extract reads as FASTA
samtools fasta input.bam > reads.fasta

# Filter by read group
samtools view -r SAMPLE_001 multi_rg.bam -o sample001.bam
```

### Module 2: Sorting and Indexing

Organize BAM files for efficient random access.

```bash
# Sort by coordinate (required before indexing)
samtools sort -@ 8 -m 2G input.bam -o sorted.bam

# Sort by read name (required for fixmate/markdup)
samtools sort -n -@ 8 input.bam -o namesorted.bam

# Index sorted BAM (creates sorted.bam.bai)
samtools index sorted.bam

# For chromosomes > 512 Mbp: use CSI index instead
samtools index -c sorted.bam

# Group reads by name (fast, for fixmate — no full sort needed)
samtools collate -o collated.bam input.bam
```

### Module 3: Quality Control and Statistics

Generate alignment QC metrics and coverage reports.

```bash
# Quick summary: total, mapped, paired, properly paired
samtools flagstat sorted.bam
# Example output:
# 50000000 + 0 in total (QC-passed reads + QC-failed reads)
# 48523111 + 0 mapped (97.05% : N/A)
# 50000000 + 0 paired in sequencing
# 48490234 + 0 properly paired (96.98% : N/A)

# Per-chromosome mapped/unmapped read counts
samtools idxstats sorted.bam
# chr1  248956422  12345678  0
# chr2  242193529  11234567  0

# Comprehensive stats (insert sizes, GC content, base quality)
samtools stats -r reference.fa sorted.bam > full_stats.txt
grep "^SN" full_stats.txt | cut -f2,3  # Summary Numbers only

# Coverage report (min/max/mean per region/chromosome)
samtools coverage sorted.bam
```

```bash
# Per-base read depth for specific regions
samtools depth -b target_regions.bed sorted.bam > depth.txt
# Output: chr  pos  depth (e.g., chr1  1000  45)

# Statistics split by read group
samtools stats -S RG sorted.bam > per_rg_stats.txt
```

### Module 4: Read Filtering and FLAG Operations

Filter reads using SAM FLAG bits for specific subsets.

```bash
# FLAG reference — common masks:
# 1    = paired         4  = unmapped
# 2    = proper pair    8  = mate unmapped
# 16   = reverse strand 64 = R1 (first in pair)
# 128  = R2             256= secondary alignment
# 1024 = PCR duplicate  2048= supplementary

# Extract properly paired, mapped reads (FLAG 2 set, 4 unset)
samtools view -f 2 -F 4 sorted.bam -o proper_pairs.bam

# Extract R1 reads only
samtools view -f 64 sorted.bam -o R1.bam

# Remove secondary and supplementary alignments
samtools view -F 2304 sorted.bam -o primary.bam

# Extract reads from BED file regions
samtools view -L regions.bed -b sorted.bam -o regions.bam
```

### Module 5: Duplicate Handling

Mark or remove PCR duplicates before variant calling.

```bash
# Full duplicate marking workflow (collate → fixmate → sort → markdup)
samtools collate -@ 8 -o collated.bam input.bam
samtools fixmate -m -@ 8 collated.bam fixmated.bam
samtools sort -@ 8 -o sorted.bam fixmated.bam
samtools markdup -@ 8 sorted.bam marked.bam
samtools index marked.bam

# Check duplication rate
samtools flagstat marked.bam | grep "duplicates"
# Output: 23
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