Agent skill · Data & Analytics

bio-hi-c-analysis-tad-detection

Call topologically associating domains (TADs) from Hi-C data using insulation score, HiCExplorer, and other methods. Identify domain boundaries and hierarchical domain structure. Use when calling TADs from Hi-C insulation scores.

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

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

Facts
Files in the skill folder: 3
SKILL.md size: 7 KB
Bundled scripts: yes
Path: skills/bio-hi-c-analysis-tad-detection/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+ 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. # TAD Detection **"Call TADs from my Hi-C data"** → Identify topologically associating domain boundaries using insulation score minima or other boundary-detection algorithms. - Python: `cooltools.insulation(clr, window_bp)` then threshold boundary strength - CLI: `hicFindTADs` (HiCExplorer) Call topologically associating domains from Hi-C contact matrices. ## Required Imports ```python import cooler import cooltools import numpy as np import pandas as pd import matplotlib.pyplot as plt import bioframe ``` ## Compute Insulation Score ```python clr = cooler.Cooler('matrix.mcool::resolutions/10000') view_df = bioframe.make_viewframe(clr.chromsizes) # Compute insulation score insulat

What's inside
Steps it walks through
  1. Version Compatibility
  2. Required Imports
  3. Compute Insulation Score
  4. Call TAD Boundaries
  5. Extract TAD Regions
  6. Using HiCExplorer (CLI)
  7. Using HiCExplorer in Python
  8. TAD Statistics
  9. Plot Insulation Score
  10. Compare TAD Boundaries Between Conditions
  11. Hierarchical TADs
  12. Export TADs
  13. Related Skills
Ships with 2 files
  • examples/call_tads.py
  • usage-guide.md
Commands it runs
Compute TADs with HiCExplorer
hicFindTADs \
Output files:
tads_domains.bed - TAD intervals
tads_boundaries.bed - Boundary positions
tads_score.bedgraph - Insulation score track
More from OpenClaw-Medical-Skills
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About this skill
What does the bio-hi-c-analysis-tad-detection skill do?

Call topologically associating domains (TADs) from Hi-C data using insulation score, HiCExplorer, and other methods. Identify domain boundaries and hierarchical domain structure. Use when calling TADs from Hi-C insulation scores.

How do I install it?

Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-hi-c-analysis-tad-detection --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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