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pyGenomeTracks: reproducible plots for multivariate genomic datasets
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 too...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8058774/ https://www.ncbi.nlm.nih.gov/pubmed/32745185 http://dx.doi.org/10.1093/bioinformatics/btaa692 |
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author | Lopez-Delisle, Lucille Rabbani, Leily Wolff, Joachim Bhardwaj, Vivek Backofen, Rolf Grüning, Björn Ramírez, Fidel Manke, Thomas |
author_facet | Lopez-Delisle, Lucille Rabbani, Leily Wolff, Joachim Bhardwaj, Vivek Backofen, Rolf Grüning, Björn Ramírez, Fidel Manke, Thomas |
author_sort | Lopez-Delisle, Lucille |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-8058774 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-80587742021-04-28 pyGenomeTracks: reproducible plots for multivariate genomic datasets Lopez-Delisle, Lucille Rabbani, Leily Wolff, Joachim Bhardwaj, Vivek Backofen, Rolf Grüning, Björn Ramírez, Fidel Manke, Thomas Bioinformatics Applications Notes 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. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2020-08-03 /pmc/articles/PMC8058774/ /pubmed/32745185 http://dx.doi.org/10.1093/bioinformatics/btaa692 Text en © The Author(s) 2020. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Lopez-Delisle, Lucille Rabbani, Leily Wolff, Joachim Bhardwaj, Vivek Backofen, Rolf Grüning, Björn Ramírez, Fidel Manke, Thomas pyGenomeTracks: reproducible plots for multivariate genomic datasets |
title | pyGenomeTracks: reproducible plots for multivariate genomic datasets |
title_full | pyGenomeTracks: reproducible plots for multivariate genomic datasets |
title_fullStr | pyGenomeTracks: reproducible plots for multivariate genomic datasets |
title_full_unstemmed | pyGenomeTracks: reproducible plots for multivariate genomic datasets |
title_short | pyGenomeTracks: reproducible plots for multivariate genomic datasets |
title_sort | pygenometracks: reproducible plots for multivariate genomic datasets |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8058774/ https://www.ncbi.nlm.nih.gov/pubmed/32745185 http://dx.doi.org/10.1093/bioinformatics/btaa692 |
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