Process genomic BED intervals with a Rust toolkit and Python bindings.
npx skills add https://github.com/ovachiever/droid-tings --skill gtars-ovachiever
Please help me install this Agent Skill. Skill: gtars Source: https://github.com/ovachiever/droid-tings/tree/main/skills/gtars Command: npx skills add https://github.com/ovachiever/droid-tings --skill gtars-ovachiever
GTARS provides high-performance genomic interval processing in Rust with Python bindings, enabling fast overlap detection, coverage analysis, tokenization for ML, and reference sequence management.
Use Python bindings to build an IGD index from regions.bed and query overlaps, or generate a coverage track from fragments.bed.
High-intent search queries and answers about installing and using this skill.
Overlap detection in genomic intervals uses indexing structures like IGD to query regions against BED files in constant or near-constant time. GTARS provides fast interval queries through its Rust core with Python bindings, enabling efficient region lookups without scanning entire datasets.
Coverage track generation processes aligned fragments or intervals to produce WIG or BigWig format outputs showing sequencing depth across genomic regions. GTARS automates this conversion from BED input, handling memory-efficient streaming for large datasets.
Genomic ML preprocessing tokenizes and transforms BED interval data into vectorized formats suitable for model training. GTARS provides built-in tokenization and preprocessing tools to convert raw genomic intervals into structured training inputs.
Reference sequence management in GTARS retrieves and validates genomic sequences with GA4GH refget protocol compatibility, enabling standardized access to reference genomes across computational workflows.
Memory-efficient streaming processes genomic intervals incrementally rather than loading entire files into RAM. GTARS implements streaming architecture in Rust with parallelism support to handle large BED, WIG, and BigWig files at scale.
jasrajtulsiAnalyze genomic interval overlaps and generate coverage tracks from BED files.
hxk622Manipulate genomic interval data with overlap detection and coverage track generation.
Estrella-231Process BED regions and fragments for overlap detection, coverage generation, and tokenization.
LogauaEngstromAnalyze genomic intervals with Rust-based overlap detection and coverage track generation.
