bio-experimental-design-power-analysis
Calculates statistical power and minimum sample sizes for RNA-seq, ATAC-seq, and other sequencing experiments. Use when planning experiments, determining how many replicates are needed, or assessing whether a study is adequately powered to detect expected effect sizes.
npx skills add BioTender-max/awesome-bio-agent-skills --skill power-analysis --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: RNASeqPower 1.42+, pwr 1.3+ 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. # Power Analysis for Sequencing Experiments **"How many replicates do I need for RNA-seq?"** → Calculate statistical power or minimum sample size given sequencing depth, biological variability, and expected effect size. - R: `RNASeqPower::rnapower()`, `pwr::pwr.t.test()` ## Core Concept Power = probability of detecting a true effect. Underpowered studies waste resources; overpowered studies are inefficient. ## RNA-seq Power Analysis **Goal:** Determine whether a planned RNA-seq experiment has sufficient statistical power to detect biologically meaningful fold changes, or calculate the minimum sample size needed for a target power. **Approach:** Provide sequencing depth, biological coefficient of variation, expected fold change, and significance level to rnapower, which uses a negative binom
- Version Compatibility
- Core Concept
- RNA-seq Power Analysis
- CV Guidelines
- ATAC-seq Power (ssizeRNA)
- Quick Reference
- Related Skills
What does the bio-experimental-design-power-analysis skill do?
Calculates statistical power and minimum sample sizes for RNA-seq, ATAC-seq, and other sequencing experiments. Use when planning experiments, determining how many replicates are needed, or assessing whether a study is adequately powered to detect expected effect sizes.
How do I install it?
Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill power-analysis --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.