TnT: a set of libraries for visualizing trees and track-based annotations for the web.
Where this comes from
- Record sourced from PubMed, PMID 27153646.
- Also identified by DOI 10.1093/bioinformatics/btw210 and PMC identifier 4978938.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
There is an increasing need for rich and dynamic biological data visualizations in bioinformatic web applications. New standards in web technologies, like SVG or Canvas, are now supported by most modern web browsers allowing the blossoming of powerful visualizations in biological data analysis. The exploration of different ways to visualize genomic data is still challenging due to the lack of flexible tools to develop them. Here, I present a set of libraries aimed at creating powerful tree- and track-based visualizations for the web. Its modularity and rich API facilitate the development of many different visualizations ranging from simple species trees to complex visualizations comprising per-node data annotations or even simple genome browsers. The TnT libraries have been written in Javascript, licensed under the APACHE 2.0 license and hosted at https://github.com/tntvis mp@ebi.ac.uk.
Medical subject headings
- Computational Biology
- Data Curation
- Web Browser