STAR alignment skill for splice-aware RNA-seq read mapping with comprehensive QC metrics
Scanned 9/2/2026
Install to Claude Code
npx -y skills add a5c-ai/babysitter --skill star-rnaseq-aligner --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: star-rnaseq-aligner
description: STAR alignment skill for splice-aware RNA-seq read mapping with comprehensive QC metrics
allowed-tools:
- Read
- Write
- Glob
- Grep
- Edit
- WebFetch
- WebSearch
- Bash
metadata:
version: "1.0"
category: bioinformatics
tags:
- transcriptomics
- alignment
- rna-seq
- splice-aware
graph:
domains: [domain:bioinformatics]
specializations: [specialization:biomedical-informatics]
skillAreas: [skill-area:graph-algorithms, skill-area:python-data-pipelines, skill-area:data-analysis]
workflows: [workflow:experiment-design]
roles: [role:research-engineer, role:biomedical-engineer]
---
# STAR RNA-seq Aligner Skill
## Purpose
Provide STAR alignment for splice-aware RNA-seq read mapping with comprehensive QC metrics.
## Capabilities
- Splice junction detection
- Two-pass alignment mode
- Chimeric read detection (fusions)
- Gene quantification (--quantMode)
- Custom genome index generation
- Output in multiple formats
## Usage Guidelines
- Generate genome indices with annotation
- Use two-pass mode for novel junction discovery
- Enable chimeric read detection for fusion analysis
- Generate quantification in addition to alignments
- Optimize parameters for read length
- Document STAR version and parameters
## Dependencies
- STAR
- HISAT2
- kallisto
## Process Integration
- RNA-seq Differential Expression Analysis (rnaseq-differential-expression)
- Single-Cell RNA-seq Analysis (scrnaseq-analysis)
- Spatial Transcriptomics Analysis (spatial-transcriptomics)
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