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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...

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Detalles Bibliográficos
Autores principales: Lopez-Delisle, Lucille, Rabbani, Leily, Wolff, Joachim, Bhardwaj, Vivek, Backofen, Rolf, Grüning, Björn, Ramírez, Fidel, Manke, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
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.
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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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