Agent skill · Data & Analytics

bio-read-alignment-star-alignment

Align RNA-seq reads with STAR (Spliced Transcripts Alignment to a Reference). Supports two-pass mode for novel splice junction discovery. Use when aligning RNA-seq data requiring splice-aware alignment.

BioTender-maxgithub.com/BioTender-maxGitHub ↗
claude-codeships scriptsNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill star-alignment --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 5 KB
Bundled scripts: yes
Path: skills/bioskills/star-alignment/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 135
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

## Version Compatibility Reference examples tested with: STAR 2.7.11+, Subread 2.0+, fastp 0.23+, kallisto 0.50+ Before using code patterns, verify installed versions match. If versions differ: - CLI: `<tool> --version` then `<tool> --help` to confirm flags If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying. # STAR RNA-seq Alignment **"Align RNA-seq reads with STAR"** → Map RNA-seq reads to a reference genome with fast, sensitive splice-aware alignment. Preferred for large datasets and downstream fusion/chimeric read detection. - CLI: `STAR --runMode alignReads --genomeDir index/ --readFilesIn R1.fq R2.fq --outSAMtype BAM SortedByCoordinate` ## Generate Genome Index ```bash # Basic index generation STAR --runMode genomeGenerate \ --runThreadN 8 \ --genomeDir star_index/ \ --genomeFastaFiles reference.fa \ --sjdbGTFfile annotation.gtf \ --sjdbOverhang 100 # Read length - 1 ``` ## Index with Specific Read Length ```bash # For 150bp reads, use sjdbOverhang=149 STAR --runMode genomeGenerate \ --runThreadN 8 \ --genomeDir star_index_150/ \ --genomeFastaFiles reference.fa \ --sjdbGT

What's inside
Steps it walks through
  1. Version Compatibility
  2. Generate Genome Index
  3. Index with Specific Read Length
  4. Basic Alignment
  5. Single-End Alignment
  6. Two-Pass Mode
  7. Quantification Mode
  8. ENCODE Options
  9. Fusion Detection
  10. Output Files
  11. Memory Requirements
  12. Shared Memory Mode
  13. Key Parameters
  14. Related Skills
Ships with 2 files
  • examples/align_star.sh
  • usage-guide.md
Commands it runs
Basic index generation
STAR --runMode genomeGenerate \
For 150bp reads, use sjdbOverhang=149
Paired-end alignment
STAR --runThreadN 8 \
Two-pass mode for better novel junction detection
Output gene counts (like featureCounts)
ENCODE recommended settings
For chimeric/fusion detection
Reduce memory for limited systems
More from awesome-bio-agent-skills
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About this skill
What does the bio-read-alignment-star-alignment skill do?

Align RNA-seq reads with STAR (Spliced Transcripts Alignment to a Reference). Supports two-pass mode for novel splice junction discovery. Use when aligning RNA-seq data requiring splice-aware alignment.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill star-alignment --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From BioTender-max/awesome-bio-agent-skills, a repository with 135 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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