plotsr: visualizing structural similarities and rearrangements between multiple genomes

Author:

Goel Manish12ORCID,Schneeberger Korbinian12

Affiliation:

1. Faculty of Biology, LMU Munich , Planegg-Martinsried 82152, Germany

2. Department of Genetics, Faculty of Biology, LMU Munich , Germany

Abstract

Abstract Summary Third-generation genome sequencing technologies have led to a sharp increase in the number of high-quality genome assemblies. This allows the comparison of multiple assembled genomes of individual species and demands new tools for visualizing their structural properties. Here, we present plotsr, an efficient tool to visualize structural similarities and rearrangements between genomes. It can be used to compare genomes on chromosome level or to zoom in on any selected region. In addition, plotsr can augment the visualization with regional identifiers (e.g. genes or genomic markers) or histogram tracks for continuous features (e.g. GC content or polymorphism density). Availability and implementation plotsr is implemented as a python package and uses the standard matplotlib library for plotting. It is freely available under the MIT license at GitHub (https://github.com/schneebergerlab/plotsr) and bioconda (https://anaconda.org/bioconda/plotsr). Supplementary information Supplementary data are available at Bioinformatics online.

Funder

Deutsche Forschungsgemeinschaft (DFG, German Research Foundation

Germany’s Excellence Strategy—EXC

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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