Litcius/Paper detail

pyGenomeTracks: reproducible plots for multivariate genomic datasets

Lucille Lopez‐Delisle, Leily Rabbani, Joachim Wolff, Vivek Bhardwaj, Rolf Backofen, Björn Grüning, Fidel Ramírez, Thomas Manke

2020Bioinformatics587 citationsDOIOpen Access PDF

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. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Topics & Concepts

Computer scienceModular designGraphical user interfaceSoftwareInterface (matter)Multivariate statisticsSource codeLine (geometry)Data miningInformation retrievalProgramming languageMachine learningOperating systemMaximum bubble pressure methodBubbleGeometryMathematicsSingle-cell and spatial transcriptomicsGene expression and cancer classificationGenomics and Phylogenetic Studies