Bio Copy Number Recurrent Cnv | Agent Skills Atlas

About this skill

Identify recurrent and driver copy number alterations across a tumor cohort with GISTIC2 (G-score, Ziggurat deconstruction, focal vs broad/arm-level analysis, q-values from permutation) and quantify copy-number signatures with the Steele 2022 COSMIC framework and the Drews 2022 CINSignatures framework. Covers driver-gene localization from recurrence peaks, distinguishing focal drivers from arm-level passengers, and the caller-sensitivity caveats of copy-number signatures. Use when finding recurrently amplified or deleted regions in a cohort, localizing driver genes, separating focal from broad events, running GISTIC2, or extracting copy-number mutational signatures.

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0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1

Content SHA-256: cc81804c4e8695781021aa590338687fde0203ec3f2719c094fcc1f13b672e78

About scan coverage and limitations

Original listing metadata

Original name

bio-copy-number-recurrent-cnv

Original description

About this listing

Category: Content & writing
Reported license: Not specified
Listing language (estimated): English
Review status: Not individually reviewed
Agent compatibility: Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.