Agent skill · Data & Analytics

bio-epitranscriptomics-merip-preprocessing

Align and QC MeRIP-seq IP and input samples for m6A analysis. Use when preparing MeRIP-seq data for peak calling or differential methylation analysis.

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

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

Facts
Files in the skill folder: 4
SKILL.md size: 2 KB
Bundled scripts: yes
Path: skills/bioskills/merip-preprocessing/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+, deepTools 3.5+, samtools 1.19+ Before using code patterns, verify installed versions match. If versions differ: - Python: `pip show <package>` then `help(module.function)` to check signatures - 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. # MeRIP-seq Preprocessing **"Preprocess my MeRIP-seq IP and input samples"** → Align and QC methylated RNA immunoprecipitation sequencing data, comparing IP enrichment to input for downstream m6A peak calling. - CLI: `STAR` for splice-aware alignment, `samtools` for post-processing, `deepTools` for QC ## Alignment with STAR **Goal:** Align MeRIP-seq IP and input samples to the genome with splice-aware mapping for downstream peak calling. **Approach:** Build a STAR genome index with gene annotations, then loop through all IP and input samples to produce coordinate-sorted BAM files. ```bash # Build index (once) STAR --runMode genomeGenerate \ --genomeDir star_index \ --genomeFastaFiles genome.fa \ --sjdbGTF

What's inside
Steps it walks through
  1. Version Compatibility
  2. Alignment with STAR
  3. QC Metrics
  4. IP/Input Correlation
  5. Related Skills
Ships with 3 files
  • examples/align_merip.sh
  • examples/merip_qc.py
  • usage-guide.md
Commands it runs
Build index (once)
STAR --runMode genomeGenerate \
Align IP and input samples
for sample in IP_rep1 IP_rep2 Input_rep1 Input_rep2; do
STAR --genomeDir star_index \
done
Index BAMs
for bam in *Aligned.sortedByCoord.out.bam; do
samtools index $bam
Check IP enrichment
More from awesome-bio-agent-skills
All skills →
About this skill
What does the bio-epitranscriptomics-merip-preprocessing skill do?

Align and QC MeRIP-seq IP and input samples for m6A analysis. Use when preparing MeRIP-seq data for peak calling or differential methylation analysis.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill merip-preprocessing --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.

Keep going