Analyze genomic interval overlaps and generate coverage tracks from BED files.
npx skills add https://github.com/jasrajtulsi/GRAD-SCOPE --skill gtars-jasrajtulsi
Please help me install this Agent Skill. Skill: gtars Source: https://github.com/jasrajtulsi/GRAD-SCOPE/tree/main/.claude/skills/gtars Command: npx skills add https://github.com/jasrajtulsi/GRAD-SCOPE --skill gtars-jasrajtulsi
Gtars removes the manual friction of working with genomic interval data by giving you a single skill for overlap detection, coverage profiling, reference-sequence lookup, and region tokenization for machine learning.
Ask the Skill to inspect my genomic interval files, identify overlaps, and recommend the right Gtars workflow for coverage generation, reference retrieval, or tokenization.
High-intent search queries and answers about installing and using this skill.
You can convert BED intervals or fragments into WIG, BigWig, or bedGraph coverage tracks to support ATAC-seq, ChIP-seq, RNA-seq, and differential coverage analysis workflows using Rust-backed operations.
Detecting overlapping genomic intervals requires building and querying interval indexes to find shared regions, compute set operations, and annotate variants or regulatory features efficiently with IGD indexing.
Genomic region tokenization for machine learning preprocessing involves converting interval data into structured tokens, enabling downstream model training and geniml preprocessing workflows using Rust-backed operations.
Yes, you can retrieve subsequences with refget-style digests and manage reference sequences directly through Python bindings that interface with the underlying Rust implementation.
Yes, you can compare genomic intervals like ChIP-seq peaks against promoters, export overlapping regions, and generate coverage tracks for visualization within a single coherent workflow.
Rust-backed operations provide high-speed interval indexing, overlap detection, and coverage generation while maintaining Python bindings, reducing manual friction in computational genomics workflows.
jaechang-hitsProcess genomic interval data from BED files with Rust-backed operations.
jimmc414Process genomic interval data with overlap detection and coverage track generation.
ovachieverProcess genomic BED intervals with a Rust toolkit and Python bindings.
Lord1EgyptAnalyze genomic intervals and detect overlaps using Rust-based tools.
