Working with Genomic Data

GenomeSpy provides various features that are specifically designed for working with genomic data.

Loading Genomic Data

While GenomeSpy can load data from various sources, such as CSV and JSON files, genomic data is often stored in specialized file formats, such as Indexed FASTA, BigWig, and BigBed. GenomeSpy provides built-in support for these formats, allowing you to load and visualize genomic data without the need for additional tools or libraries.

Handling Genomic Coordinates

Genomic data is typically associated with genomic coordinates comprising chromosome names and positions within the chromosomes. GenomeSpy provides various techniques for working with such coordinates, such as transforming between different coordinate systems and visualizing data in the context of a reference genome.

Data Transformations

Specialized transformations, such as folding tabular data, calculating coverage, and computing a piled up layout allows GenomeSpy to be adapted for many genomic data visualization and analysis tasks.

GPU-accelerated Rendering

As genomic data can be large and complex, GenomeSpy's GPU-accelerated rendering allows you to visualize, navigate, and explore large datasets with high performance.