→ AbstractThe presenter will be available for live Q&A in sessions of both hemispheres and is presenting a poster in session 1 in both hemispheres.
Lucille Lopez-Delisle 1, Leily Rabbani 2, Joachim Wolff 3, Vivek Bhardwaj 2, Rolf Backofen 3,
Bjoern Gruening 3 Fidel Ramirez 2,*,Thomas Manke 2,
1 EPFL SV ISREC UPDUB, 1015 Lausanne, Switzerland: lucille.delisle@epfl.ch
2 Max Planck Institute of Immunobiology and Epigenetics, Stübeweg 51, 79108 Freiburg im
Breisgau, Germany
3 Bioinformatics Group, Department of Computer Science, University of Freiburg, Georges-Köhler-Allee 106, 79110 Freiburg, Germany
Project Website: https://github.com/deeptools/pyGenomeTracks
Source Code: https://github.com/deeptools/pyGenomeTracks
License:
GPLv3Main Text of 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 and plots them in a highly customizable, publication ready layout. It can
generate a variety of data formats which are required by many journals. Importantly, PGT enables a
reproducible and standardized generation of images, which can be integrated in more general
workflows.
