Analyze genomic intervals with overlap detection, coverage tracks, and ML tokenization.
npx skills add https://github.com/sanand0/scientific-research --skill gtars-sanand0
Please help me install this Agent Skill. Skill: gtars Source: https://github.com/sanand0/scientific-research/tree/main/.claude/skills/gtars Command: npx skills add https://github.com/sanand0/scientific-research --skill gtars-sanand0
This Skill provides a high-performance toolkit for analyzing and processing genomic interval data, streamlining complex computational genomics tasks.
Use the gtars skill to build an IGD index from the file 'regions.bed'.
High-intent search queries and answers about installing and using this skill.
Genomic interval overlap detection is handled by building an IGD index from your BED files, enabling fast querying of large-scale genomic data. This Rust-based toolkit provides Python bindings to execute these low-level operations efficiently.
Tokenizing genomic regions for machine learning preprocessing is directly supported through Python bindings. The toolkit prepares genomic data by converting interval regions into tokens suitable for deep learning models.
Generating coverage tracks for ChIP-seq peaks is achieved using the genomic interval operations provided by the toolkit. It processes BED files to output coverage tracks ready for visualization and downstream analysis.
A Rust environment is not strictly required to use the toolkit because it provides Python bindings. You can execute interval analysis, overlap detection, and coverage track generation directly from Python.
Retrieving and validating reference genome sequences is supported natively by the toolkit. It manages reference sequence data to ensure genomic intervals map correctly during computational biology analysis.
jaechang-hitsPerform genomic interval operations on BED, BAM, GFF, and VCF files.
galeepAnalyze genomic interval data with Python bindings and Rust efficiency.
Lord1EgyptPerform genomic interval arithmetic and stream BED, VCF, and BAM files with Polars.
LeonChaoXBuild IGD indexes, detect overlaps, and generate coverage tracks from BED inputs.
