Gtars Genomic Analysis

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Gtars is a high-performance Rust toolkit designed for manipulating and analyzing complex genomic interval data with efficient Python bindings. It offers specialized capabilities for Integrated Genome Database (IGD) indexing, coverage track generation (WIG/BigWig), and sequence tokenization specifically for deep learning models. This skill is ideal for bioinformaticians and data scientists who need to process large-scale genomic datasets, perform fragment analysis in single-cell genomics, or prepare data for genomic machine learning pipelines with native-speed performance and low memory overhead.

Características Principales

• Genomic tokenization for deep learning and transformer models
• Single-cell fragment analysis and cluster-based file splitting
• High-speed genomic overlap detection using IGD indexing
• Generation of coverage tracks (WIG/BigWig) for sequencing data
• Reference sequence management and validation via Refget protocol
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Casos de Uso

• Preprocessing genomic regions for training transformer-based ML models
• Creating visualization-ready coverage profiles from large ATAC-seq datasets
• Analyzing ChIP-seq peak overlaps and identifying regulatory elements