@article{lopez2020pygenometracks,
author = {Lopez-Delisle, Lucille and Rabbani, Leily and Wolff, Joachim and Bhardwaj, Vivek and Backofen, Rolf and Grüning, Björn and Ramirez, Fidel and Manke, Thomas},
title = {pyGenomeTracks: reproducible plots for multivariate genomic data sets},
journal = {Bioinformatics},
year = {2020},
doi = {10.1093/bioinformatics/btaa692},
user = {miladim},
note = {btaa692},
month = {08},
issn = {1367-4803},
eprint = {https://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btaa692/33560030/btaa692.pdf},
abstract = {{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 by using a vector graphic software.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.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.Supplementary data are available at Bioinformatics online.}}
}