pyGenomeTracks

pyGenomeTracks generates publication-ready plots that display multiple genomic tracks to visualize and integrate genomic data such as gene expression and epigenetic modifications.


Key Features:

  • Modular Plotting: Integrates multiple genomic tracks into composite visualizations to display different data types together.
  • Customization: Offers extensive customization through user-defined parameters and settings to tailor plot appearance for publication.
  • Reproducibility: Standardizes the generation of genome browser-style tracks to support reproducible figure creation.

Scientific Applications:

  • Data Integration: Combines diverse genomic datasets (e.g., gene expression, epigenetic modifications) into a single coherent visualization.
  • Publication Preparation: Produces high-quality figures composed of multiple genomic tracks for publication and presentation.

Methodology:

pyGenomeTracks leverages modular programming and user-defined parameters to assemble track-based plots.

Topics

Details

License:
GPL-3.0
Programming Languages:
Python
Added:
1/18/2021
Last Updated:
10/4/2022

Operations

Publications

Lopez-Delisle L, Rabbani L, Wolff J, Bhardwaj V, Backofen R, Grüning B, Ramírez F, Manke T. pyGenomeTracks: reproducible plots for multivariate genomic datasets . Bioinformatics. 2020;37(3):422-423. doi:10.1093/bioinformatics/btaa692. PMID:32745185. PMCID:PMC8058774.

PMID: 32745185
Funding: - Deutsche Forschungsgemeinschaft: 192904750, SFB 992 - German Federal Ministry of Education and Research: 031 A538A, 031 L0101C - Germany’s Excellence Strategy: 390939984 - RegulHox: 588029

Documentation