<p>pyGenomeTracks – make a publishable figure out of your NGS data</p>

Lucille Lopez-Delisle

doi:10.7490/f1000research.1120344.1

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Lopez-Delisle L. pyGenomeTracks – make a publishable figure out of your NGS data [version 1; not peer reviewed]. F1000Research 2025, 14:1089 (slides) (https://doi.org/10.7490/f1000research.1120344.1)

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pyGenomeTracks – make a publishable figure out of your NGS data

Lucille Lopez-Delisle¹

Published 13 Oct 2025 (https://doi.org/10.7490/f1000research.1120344.1)

Author Affiliations

¹ Universite de Geneve, Geneva, Geneva, Switzerland

Copyright © 2025 Lopez-Delisle L. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 13 Oct 2025

pyGenomeTracks – make a publishable figure out of your NGS data
[version 1; not peer reviewed]

Lucille Lopez-Delisle¹

Author Affiliations

¹ Universite de Geneve, Geneva, Geneva, Switzerland

Presented at

European Galaxy Days

Competing Interests

No competing interests were disclosed

Keywords

pyGenomeTracks, publication-ready figures, genomic tracks, NGS, reproducible plots, matplotlib, command-line tool, Galaxy integration, workflows, loci of interest, coverage visualization, quality control, RNA-seq strandedness, ATAC-seq, ChIP-seq, CUT&RUN, alternative splicing, data formats, Hi-C, configuration file, GWAS track, sashimi track

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