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TnT: a set of libraries for visualizing trees and track-based annotations for the web

Summary: 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 analy...

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Detalles Bibliográficos
Autor principal: Pignatelli, Miguel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4978938/
https://www.ncbi.nlm.nih.gov/pubmed/27153646
http://dx.doi.org/10.1093/bioinformatics/btw210
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author Pignatelli, Miguel
author_facet Pignatelli, Miguel
author_sort Pignatelli, Miguel
collection PubMed
description Summary: 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. Availability and Implementation: The TnT libraries have been written in Javascript, licensed under the APACHE 2.0 license and hosted at https://github.com/tntvis. Contact: mp@ebi.ac.uk
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spelling pubmed-49789382016-08-11 TnT: a set of libraries for visualizing trees and track-based annotations for the web Pignatelli, Miguel Bioinformatics Applications Notes Summary: 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. Availability and Implementation: The TnT libraries have been written in Javascript, licensed under the APACHE 2.0 license and hosted at https://github.com/tntvis. Contact: mp@ebi.ac.uk Oxford University Press 2016-08-15 2016-04-22 /pmc/articles/PMC4978938/ /pubmed/27153646 http://dx.doi.org/10.1093/bioinformatics/btw210 Text en © The Author 2016. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Pignatelli, Miguel
TnT: a set of libraries for visualizing trees and track-based annotations for the web
title TnT: a set of libraries for visualizing trees and track-based annotations for the web
title_full TnT: a set of libraries for visualizing trees and track-based annotations for the web
title_fullStr TnT: a set of libraries for visualizing trees and track-based annotations for the web
title_full_unstemmed TnT: a set of libraries for visualizing trees and track-based annotations for the web
title_short TnT: a set of libraries for visualizing trees and track-based annotations for the web
title_sort tnt: a set of libraries for visualizing trees and track-based annotations for the web
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4978938/
https://www.ncbi.nlm.nih.gov/pubmed/27153646
http://dx.doi.org/10.1093/bioinformatics/btw210
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