Loading skill
Install any skill in seconds. Free to start, no credit card required.
Get Started Free →jaechang-hits/omics-analysis-guide
Three-tiered approach to omics data analysis (transcriptomics, proteomics) covering validated pipelines, standard workflows, and custom methods
Passed 15 of 23 test cases with the skill, and 9 of 23 without it.
and 7 more in the full report
7 fixed8 passed either way7 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
Before deciding between Student's t-test and Welch's t-test on continuous omics data with n=12 per group, which statistical test determines if variances are equal across features?
| Checked | Without skill | With skill |
|---|---|---|
| Selects Levene's test for variance homogeneity | Missed | Passed |
| Selects Welch's t-test when normality passes but variance homogeneity fails | Missed | Passed |
The instructions your model reads when the skill loads.
Short Description: Comprehensive guide for analyzing omics data (transcriptomics, proteomics) using validated pipelines, standard workflows, or custom analysis methods.
Authors: HITS
Version: 1.0
Last Updated: December 2025
License: CC BY 4.0
Commercial Use: Allowed
This guide provides a three-tiered approach to omics data analysis, prioritizing validated pipelines and standard workflows before moving to custom analysis. Always start with Option 1 and proceed to subsequent options only if needed.
The guide covers:
Note: This guide focuses on analysis of already-quantified data. For raw data processing (alignment, quantification), refer to specialized tools and pipelines.
test cases passed, vs 9 / 23 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.