lib-gtars

What problem does it solve?

This Skill provides a high-performance toolkit for analyzing and processing genomic interval data, streamlining complex bioinformatics workflows.

Core Features & Use Cases

• Genomic Interval Operations: Efficiently handle BED files, detect overlaps, and generate coverage tracks.
• Machine Learning Preprocessing: Tokenize genomic regions for deep learning models.
• Reference Sequence Management: Retrieve and validate reference genome sequences.
• Use Case: Analyze ATAC-seq data by generating coverage tracks from fragment files, identifying accessible regions, and preparing the data for downstream machine learning analysis.

Quick Start

Use the lib-gtars skill to generate a BigWig coverage track from the file 'atac_fragments.bed'.