
End-to-end pipeline for short-read bulk RNA-seq alternative splicing analysis: QC, STAR 2-pass alignment, junction QC, rMATS differential splicing, isoform swit
Provides a complete workflow to analyze alternative splicing from raw FASTQ to differential splicing results in bulk short-read RNA-seq experiments. The skill documents steps for QC (fastp), STAR 2-pass alignment, junction quality control, differential splicing with rMATS-turbo, optional isoform-switching analyses (IsoformSwitchAnalyzeR), and sashimi plot generation for visualization.
Use when you have cohort-style short-read RNA-seq data and need to detect differential splicing between two groups, perform QC on junction detection, or generate publication-ready visualizations of splicing events. Not suitable for single-sample rare-disease outlier detection, splice-variant prediction workflows, or long-read full-isoform analysis.
Agents that can orchestrate long-running bioinformatics workflows or output shell commands and scripts (e.g., agents with shell/cluster submission support, or that can generate reproducible pipelines).
Documentation-only skill for bulk RNA-seq alternative splicing analysis (STAR 2-pass + rMATS-turbo + IsoformSwitchAnalyzeR). No bundled scripts. SKILL.md is thorough with clear pipeline steps, variant routing table, and code examples. Minor code quality issues like inline __import__('numpy') and truncated complete pipeline script. Niche bioinformatics audience with heavy dependency requirements.
Clean reference skill with no security concerns. Good domain coverage with clear routing to related skills for different analysis regimes. Architecture could improve by separating code examples into scripts/ directory.
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