Build genomic interval indexes, detect overlaps, and generate coverage profiles from BED-like datasets.
npx skills add https://github.com/shushuzn/Rairos --skill gtars-shushuzn
Please help me install this Agent Skill. Skill: gtars Source: https://github.com/shushuzn/Rairos/tree/main/skills/gtars Command: npx skills add https://github.com/shushuzn/Rairos --skill gtars-shushuzn
Gtars helps you process large genomic interval datasets by enabling reliable overlap detection, coverage track generation, and ML-ready tokenization without slow, ad-hoc tooling.
Run the CLI to generate a BigWig coverage track from a BED/fragment input file: gtars uniwig generate --input fragments.bed --output coverage.bw --format bigwig
High-intent search queries and answers about installing and using this skill.
Detect overlaps in large genomic interval datasets by building and querying integrated genome database (IGD) indexes for perform fast interval overlap counting and extraction against BED-like files.
Convert BED files to BigWig coverage tracks by using the uniwig generation command to transform fragment intervals into WIG or BigWig profiles for visualization and downstream analysis.
Genomic tokenization for machine learning preprocessing is the conversion of regions into discrete tokens using tree-based tokenization to support transformer and sequence-model position encoding.
Yes, you can filter single-cell fragments by barcode or cluster and score fragment overlaps against reference datasets using the fragment processing and scoring functions.
Yes, the genomic interval analysis tool requires the gtars Rust toolkit with Python bindings and CLI support to execute overlap queries, coverage generation, and tokenization tasks.
Compute GA4GH refget digests to validate reference sequences by retrieving subsequences from FASTA-backed storage and comparing references using refget-compliant digest operations.
dralkhAnalyze genomic interval data for overlaps, coverage, and sequence retrieval.
ovachieverProcess genomic BED intervals with a Rust toolkit and Python bindings.
jackspaceDetect overlaps between genomic intervals in BED data.
Estrella-231Process BED regions and fragments for overlap detection, coverage generation, and tokenization.
