bio-epitranscriptomics-m6a-differential
Identify differential m6A methylation between conditions from MeRIP-seq. Use when comparing epitranscriptomic changes between treatment groups or cell states.
npx skills add BioTender-max/awesome-bio-agent-skills --skill m6a-differential --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
## Version Compatibility Reference examples tested with: ggplot2 3.5+ Before using code patterns, verify installed versions match. If versions differ: - R: `packageVersion('<pkg>')` then `?function_name` to verify parameters If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying. # Differential m6A Analysis **"Find differential m6A sites between my conditions"** → Identify RNA methylation changes between experimental groups by comparing MeRIP-seq IP/input ratios across conditions with statistical testing. - R: `exomePeak2::exomePeak2()` with contrast design for differential peaks ## exomePeak2 Differential Analysis **Goal:** Identify m6A sites that differ in methylation level between experimental conditions from MeRIP-seq data. **Approach:** Run exomePeak2 with a contrast design matrix comparing IP/input ratios across conditions, which accounts for GC bias and biological replicates. ```r library(exomePeak2) # Define sample design # condition: factor for comparison design <- data.frame( condition = factor(c('ctrl', 'ctrl', 'treat', 'treat')) ) # Differential peak calling result <-
- Version Compatibility
- exomePeak2 Differential Analysis
- QNB for Differential Methylation
- Visualization
- Related Skills
What does the bio-epitranscriptomics-m6a-differential skill do?
Identify differential m6A methylation between conditions from MeRIP-seq. Use when comparing epitranscriptomic changes between treatment groups or cell states.
How do I install it?
Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill m6a-differential --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.