svist4get

svist4get generates publication-quality visualizations of genomic signal tracks derived from high-throughput sequencing experiments.

Key Features:

• Customizable visualizations: Generates configurable figures that can aggregate multiple genomic signal tracks onto a single plot for comparative analysis.
• Transcriptome annotation integration: Incorporates transcriptome annotations into visualizations to provide genomic context.
• Output formats: Exports figures as vector or high-resolution bitmap images.
• Implementation: Implemented in Python 3.
• Programmatic customization: Supports configuration files and a Python API for tailoring visualization parameters.

Scientific Applications:

• Ribo-Seq visualization: Produces track visualizations suitable for ribosome profiling (Ribo-Seq) data.
• RNA-Seq visualization: Produces track visualizations suitable for RNA-Seq data.

Methodology:

Implemented in Python 3; aggregates genomic signal tracks, integrates transcriptome annotations, renders plots and exports them as vector or high-resolution bitmap images; supports configuration files and a Python API.