gtars
High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.
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Excerpt from the author’s documentation
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Topics in the source
- Gtars: Genomic Tools and Algorithms in Rust
- Overview
- Installation
- Python Installation
- CLI Installation
- Rust Library
- Core Capabilities
- 1. Overlap Detection and IGD Indexing
Gtars is a high-performance Rust toolkit for manipulating, analyzing, and processing genomic interval data. It provides specialized tools for overlap detection, coverage analysis, tokenization for machine learning, and reference sequence management. Use this skill when working with: Genomic interval files (BED format) Overlap detection between genomic regions Coverage track generation (WIG, BigWig) Genomic ML preprocessing and tokenization Fragment analysis in single-cell genomics Reference sequence retrieval and validation Install gtars Python bindings: Install command-line tools (requires Rust/Cargo): Add to Cargo.toml for Rust projects: Gtars is organized into specialized modules, each focused on specific genomic analysis tasks: Efficiently detect overlaps between genomic intervals using the Integrated Genome Database (IGD) data structure. When to use: Finding overlapping regulatory elements Variant annotation Comparing ChIP-seq peaks Identifying shared genomic features Quick example: See references/overlap.md for comprehensive overlap detection documentation. Generate coverage tracks from sequencing data with the uniwig module. When to use: ATAC-seq accessibility profiles ChIP-
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- Source repository
- davila7/claude-code-templates
- Source file
- cli-tool/components/skills/scientific/gtars/SKILL.md
- Fixed revision
- 21be197f100a12b8d0dd9a211cc244c8179f84d3
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Author: davila7/claude-code-templates · original repository metadata. Documentation review: Not reviewed. Last source check: 2026-11-09T15:01:40.096Z.
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