spatial-cnv
OfficialInfer copy number variation from spatial data.
Data & Analytics#genomics#cancer genomics#spatial transcriptomics#copy number variation#CNV#inferCNV
AuthorTianGzlab
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the complex process of inferring copy number variations (CNVs) from spatial transcriptomics data, which is crucial for understanding tumor heterogeneity and evolution.
Core Features & Use Cases
- Automated CNV Inference: Utilizes
infercnvpyorNumbatto detect chromosomal gains and losses. - Spatial Mapping: Overlays CNV scores onto spatial coordinates to visualize regional aberrations.
- Use Case: Analyze a spatial transcriptomics dataset to identify tumor subclones with distinct copy number profiles, aiding in the understanding of tumor evolution and therapeutic resistance.
Quick Start
Infer copy number variation on my spatial transcriptomics dataset.
Dependency Matrix
Required Modules
scanpyinfercnvpy
Components
scriptsreferencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: spatial-cnv Download link: https://github.com/TianGzlab/OmicsClaw/archive/main.zip#spatial-cnv Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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