Agent skill

bio-hi-c-analysis-hic-differential

Compare Hi-C contact matrices between conditions to identify differential chromatin interactions. Compute log2 fold changes, statistical significance, and visualize differential contact maps. Use when comparing Hi-C contacts between conditions.

FreedomIntelligencegithub.com/FreedomIntelligenceGitHub ↗
claude-codeships scripts
Install
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-hi-c-analysis-hic-differential --agent claude-code

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

Facts
Files in the skill folder: 3
SKILL.md size: 10 KB
Bundled scripts: yes
Path: skills/bio-hi-c-analysis-hic-differential/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,909
Language: Python
Read our review of the source →

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: cooler 0.9+, cooltools 0.6+, matplotlib 3.8+, numpy 1.26+, pandas 2.2+, scipy 1.12+, statsmodels 0.14+ Before using code patterns, verify installed versions match. If versions differ: - Python: `pip show <package>` then `help(module.function)` to check signatures If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying. # Hi-C Differential Analysis **"Compare Hi-C contacts between my conditions"** → Compute log2 fold-change contact maps, identify statistically significant differential interactions, and visualize changes in 3D genome organization. - Python: `cooltools` for expected values, custom differential analysis with `scipy.stats` Compare Hi-C contact matrices between conditions. ## Required Imports ```python import cooler import cooltools import numpy as np import pandas as pd import matplotlib.pyplot as plt from matplotlib.colors import TwoSlopeNorm from scipy import stats import bioframe ``` ## Load Two Conditions ```python # Load balanced cooler files at same resolution clr1 = cooler.Cooler('condition1.mcool::resoluti

What's inside
Steps it walks through
  1. Version Compatibility
  2. Required Imports
  3. Load Two Conditions
  4. Compute Log2 Fold Change
  5. Plot Differential Contact Map
  6. Split View Comparison
  7. Depth Normalization
  8. Statistical Testing (Per-Pixel)
  9. FDR Correction
  10. Differential at Distance Bins
  11. Compare Compartment Changes
  12. Compare TAD Boundaries
  13. Differential Loop Analysis
  14. Export Differential Results
Ships with 2 files
  • examples/compare_hic.py
  • usage-guide.md
More from OpenClaw-Medical-Skills
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About this skill
What does the bio-hi-c-analysis-hic-differential skill do?

Compare Hi-C contact matrices between conditions to identify differential chromatin interactions. Compute log2 fold changes, statistical significance, and visualize differential contact maps. Use when comparing Hi-C contacts between conditions.

How do I install it?

Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-hi-c-analysis-hic-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 FreedomIntelligence/OpenClaw-Medical-Skills, a repository with 2,909 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.

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