staff-training-health
Design healthcare staff training programs. TRIGGERS - Use when user needs help with staff-training-health related tasks.
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STAR alignment skill for splice-aware RNA-seq read mapping with comprehensive QC metrics
---
name: star-rnaseq-aligner-21fac3e4cc9c
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)
---
name: star-rnaseq-aligner-21fac3e4cc9c
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)
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.