If you're doing computational genomics work with interval data, this gives you fast Rust-based tools for the bread-and-butter operations: overlap detection, coverage track generation, and genomic tokenization for ML models. It handles BED files, generates BigWig tracks, and includes specialized features like fragment splitting for single-cell ATAC-seq. The Python bindings are clean and there's a CLI for quick analyses. Honestly most useful if you're already working with the geniml ecosystem or need the performance gains from Rust over pure Python genomics libraries. The tokenization module is aimed squarely at training transformer models on genomic sequences.
npx skills add https://github.com/k-dense-ai/scientific-agent-skills --skill gtars