bwa-aligner

BWA-MEM2 alignment skill for mapping sequencing reads to reference genomes with optimized parameter selection

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Best use case

bwa-aligner is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

BWA-MEM2 alignment skill for mapping sequencing reads to reference genomes with optimized parameter selection

Teams using bwa-aligner should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/bwa-aligner/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/domains/science/bioinformatics/skills/bwa-aligner/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/bwa-aligner/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How bwa-aligner Compares

Feature / Agentbwa-alignerStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

BWA-MEM2 alignment skill for mapping sequencing reads to reference genomes with optimized parameter selection

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# BWA Aligner Skill

## Purpose
Enable BWA-MEM2 alignment for mapping sequencing reads to reference genomes with optimized parameter selection and quality assessment.

## Capabilities
- Read alignment to reference genomes
- Parameter optimization for different read types
- Multi-threading configuration
- Index generation and management
- Alignment quality metrics reporting
- Support for paired-end and single-end reads

## Usage Guidelines
- Generate genome indices before alignment
- Select appropriate parameters for read length and type
- Use multi-threading for performance optimization
- Validate alignment quality metrics post-processing
- Document parameter choices and rationale
- Archive index files for reproducibility

## Dependencies
- BWA-MEM2
- minimap2
- samtools

## Process Integration
- Whole Genome Sequencing Pipeline (wgs-analysis-pipeline)
- Long-Read Sequencing Analysis (long-read-analysis)
- Tumor Molecular Profiling (tumor-molecular-profiling)