bio-epitranscriptomics-merip-preprocessing

bio-epitranscriptomics-merip-preprocessing is a skill for Claude Code, Codex from thesecondfox/skill. It costs 48 tokens per session (653 once invoked), scanned A, original, MIT.

A guide to preparing MeRIP-seq data for m6A analysis. MeRIP-seq compares RNA pulled down with an antibody to an untreated input sample to find methylated regions.

In plain words
What is it for?
Use it to align MeRIP-seq IP and input reads and check them before finding m6A-enriched RNA regions.
Why use it?
Poor alignment or quality control can make later peak detection unreliable. This organizes the preparation of both sample types.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/thesecondfox/skill/bio-epitranscriptomics-merip-preprocessing
Any agent
npx skills add thesecondfox/skill --skill bio-epitranscriptomics-merip-preprocessing
Clone the repo
git clone --depth 1 https://github.com/thesecondfox/skill

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for bio-epitranscriptomics-merip-preprocessing

README.md
[![agentmods](https://agentmods.dev/badge/skills/thesecondfox/skill/bio-epitranscriptomics-merip-preprocessing.svg)](https://agentmods.dev/skills/thesecondfox/skill/bio-epitranscriptomics-merip-preprocessing)
Your own site
<a href="https://agentmods.dev/skills/thesecondfox/skill/bio-epitranscriptomics-merip-preprocessing"><img src="https://agentmods.dev/badge/skills/thesecondfox/skill/bio-epitranscriptomics-merip-preprocessing.svg" alt="Measured on agentmods" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 653 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00048 $0.00653
Opus 5 $0.00024 $0.00327
Sonnet 5 $0.00010 $0.00131
Haiku 4.5 $0.00005 $0.00065

Measured yesterday against content hash f467ddfedd54, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

bio-epitranscriptomics-merip-preprocessing scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Common_Skills/bio-epitranscriptomics-merip-preprocessing/SKILL.md · 80 lines

How it starts

The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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.

# Build index (once)
STAR --runMode genomeGenerate \
    --genomeDir star_index \
    --genomeFastaFiles genome.fa \
    --sjdbGTFfile genes.gtf

# Align IP and input samples
for sample in IP_rep1 IP_rep2 Input_rep1 Input_rep2; do
    STAR --genomeDir star_index \
        --readFilesIn ${sample}_R1.fastq.gz ${sample}_R2.fastq.gz \
        --readFilesCommand zcat \
        --outSAMtype BAM SortedByCoordinate \
        --outFileNamePrefix ${sample}_
done

QC Metrics

# Index BAMs
for bam in *Aligned.sortedByCoord.out.bam; do
    samtools index $bam
done

# Check IP enrichment
# Good MeRIP: IP should have peaks, input should be uniform
samtools flagstat IP_rep1_Aligned.sortedByCoord.out.bam

IP/Input Correlation

import deeptools.plotCorrelation as pc

# Check replicate correlation
multiBamSummary bins \
    -b IP_rep1.bam IP_rep2.bam Input_rep1.bam Input_rep2.bam \
    -o results.npz

plotCorrelation -in results.npz \
    --corMethod spearman \
    -o correlation.png

Read the full file on GitHub · 80 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday First seen · 80 lines · 48 tokens per session scan A f467ddfedd54

Subscribe to this mod's changes

bio-epitranscriptomics-merip-preprocessing is a skill published in the GitHub repository thesecondfox/skill (3 stars, last pushed 5mo ago), licensed MIT. It adds 48 tokens to every session and 653 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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