BWA Aligner Skill

SkillDev tools

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

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the BWA Aligner Skill skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/bioinformatics/skills/bwa-aligner/SKILL.md and read by ahel’s review.

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)

Signals

GitHub stars: 2k
Forks: 112
Last commit: Sep 2026

Advanced

Item type: skill
Key: bwa-aligner
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter