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
User manual
https://pygenometracks.readthedocs.io