getdistribution

getdistribution extracts the distribution of genomic coordinates across a genome from high-throughput next-generation sequencing (NGS) datasets to quantify spatial patterns of genes, regulatory elements, and mutations.

Key Features:

• Galaxy integration: Implemented within the Galaxy framework to operate alongside Galaxy workflows and toolchains.
• NGS data processing: Processes large-scale high-throughput DNA sequencing (NGS) data to derive genomic coordinate distributions.
• Statistical analysis: Applies statistical methods to summarize and analyze the distribution of genomic coordinates across a genome.
• Scalability and reproducibility: Designed to handle large genomic datasets and record analysis steps for reproducibility.

Scientific Applications:

• Genomic research: Characterizing the spatial distribution of genes, regulatory elements, and mutations within a genome.
• Comparative genomics: Comparing distributions of genomic features across species or populations to study variation and conservation.
• Functional genomics: Relating genomic coordinate distributions to gene expression patterns and functional elements.

Methodology:

Processes large-scale sequencing data to map genomic coordinates and analyzes their distributions using statistical methods implemented within the Galaxy framework.