AliTV-interactive visualization of whole genome comparisons

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1 Department of Animal Ecology and Tropical Biology, Julius Maximilian University, Würzburg, Germany
2 Department for Bioinformatics, Julius Maximilian University, Würzburg, Germany
3 Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
4 Center for Computational and Theoretically Biology, Julius Maximilian University, Würzburg, Germany
DOI
10.7287/peerj.preprints.2348v2
Published
Accepted
Subject Areas
Bioinformatics, Computational Biology
Keywords
Comparative genomics, alignment, visualization
Copyright
© 2017 Ankenbrand et al.
Licence
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
Cite this article
Ankenbrand MJ, Hohlfeld S, Hackl T, Förster F. 2017. AliTV-interactive visualization of whole genome comparisons. PeerJ Preprints 5:e2348v2

Abstract

Whole genome alignments and comparative analysis are key methods in the quest of unraveling the dynamics of genome evolution. Interactive visualization and exploration of the generated alignments, annotations, and phylogenetic data are important steps in the interpretation of the initial results. Limitations of existing software inspired us to develop our new tool AliTV, which provides interac- tive visualization of whole genome alignments. AliTV reads multiple whole genome alignments or automatically generates alignments from the provided data. Optional feature annotations and phylo- genetic information are supported. The user-friendly, web-browser based and highly customizable interface allows rapid exploration and manipulation of the visualized data as well as the export of publication-ready high-quality figures. AliTV is freely available at https://github.com/AliTVTeam/AliTV.

Author Comment

This is an article which has been accepted for the GCB 2016 Conference.