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Journal Article

pyGenomeTracks: reproducible plots for multivariate genomic datasets

MPS-Authors

Lopez-Delisle,  Lucille
Max Planck Institute of Immunobiology and Epigenetics, Max Planck Society;

Bhardwaj,  Vivek
Max Planck Institute of Immunobiology and Epigenetics, Max Planck Society;

Ramírez,  Fidel
Max Planck Institute of Immunobiology and Epigenetics, Max Planck Society;

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Manke,  Thomas
Max Planck Institute of Immunobiology and Epigenetics, Max Planck Society;

Fulltext (public)

Lopez et al. 2020.pdf
(Publisher version), 479KB

Supplementary Material (public)
There is no public supplementary material available
Citation

Lopez-Delisle, L., Rabbani, L., Wolff, J., Bhardwaj, V., Backofen, R., Grüning, B., et al. (2020). pyGenomeTracks: reproducible plots for multivariate genomic datasets. Bioinformatics, 692, 1-2. doi:org/10.1093/bioinformatics/btaa692.


Cite as: http://hdl.handle.net/21.11116/0000-0007-E6D1-9
Abstract
Motivation: Generating publication ready plots to display multiple genomic tracks can pose a serious challenge. Making desirable and accurate figures requires considerable effort. This is usually done by hand or using a vector graphic software. Results: pyGenomeTracks (PGT) is a modular plotting tool that easily combines multiple tracks. It enables a reproducible and standardized generation of highly customizable and publication ready images. Availability and implementation: PGT is available through a graphical interface on https://usegalaxy.eu and through the command line. It is provided on conda via the bioconda channel, on pip and it is openly developed on github: https://github.com/deeptools/pyGenomeTracks. Contact: fidel.ramirez@boehringer-ingelheim.com Supplementary information: Supplementary data: are available at Bioinformatics online.