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GSDS 2.0: an upgraded gene feature visualization server

Summary: Visualizing genes’ structure and annotated features helps biologists to investigate their function and evolution intuitively. The Gene Structure Display Server (GSDS) has been widely used by more than 60 000 users since its first publication in 2007. Here, we reported the upgraded GSDS 2.0...

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Detalles Bibliográficos
Autores principales: Hu, Bo, Jin, Jinpu, Guo, An-Yuan, Zhang, He, Luo, Jingchu, Gao, Ge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4393523/
https://www.ncbi.nlm.nih.gov/pubmed/25504850
http://dx.doi.org/10.1093/bioinformatics/btu817
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author Hu, Bo
Jin, Jinpu
Guo, An-Yuan
Zhang, He
Luo, Jingchu
Gao, Ge
author_facet Hu, Bo
Jin, Jinpu
Guo, An-Yuan
Zhang, He
Luo, Jingchu
Gao, Ge
author_sort Hu, Bo
collection PubMed
description Summary: Visualizing genes’ structure and annotated features helps biologists to investigate their function and evolution intuitively. The Gene Structure Display Server (GSDS) has been widely used by more than 60 000 users since its first publication in 2007. Here, we reported the upgraded GSDS 2.0 with a newly designed interface, supports for more types of annotation features and formats, as well as an integrated visual editor for editing the generated figure. Moreover, a user-specified phylogenetic tree can be added to facilitate further evolutionary analysis. The full source code is also available for downloading. Availability and implementation: Web server and source code are freely available at http://gsds.cbi.pku.edu.cn. Contact: gaog@mail.cbi.pku.edu.cn or gsds@mail.cbi.pku.edu.cn Supplementary information: Supplementary data are available at Bioinformatics online.
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spelling pubmed-43935232015-04-13 GSDS 2.0: an upgraded gene feature visualization server Hu, Bo Jin, Jinpu Guo, An-Yuan Zhang, He Luo, Jingchu Gao, Ge Bioinformatics Applications Notes Summary: Visualizing genes’ structure and annotated features helps biologists to investigate their function and evolution intuitively. The Gene Structure Display Server (GSDS) has been widely used by more than 60 000 users since its first publication in 2007. Here, we reported the upgraded GSDS 2.0 with a newly designed interface, supports for more types of annotation features and formats, as well as an integrated visual editor for editing the generated figure. Moreover, a user-specified phylogenetic tree can be added to facilitate further evolutionary analysis. The full source code is also available for downloading. Availability and implementation: Web server and source code are freely available at http://gsds.cbi.pku.edu.cn. Contact: gaog@mail.cbi.pku.edu.cn or gsds@mail.cbi.pku.edu.cn Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2015-04-15 2014-12-10 /pmc/articles/PMC4393523/ /pubmed/25504850 http://dx.doi.org/10.1093/bioinformatics/btu817 Text en © The Author 2014. 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
Hu, Bo
Jin, Jinpu
Guo, An-Yuan
Zhang, He
Luo, Jingchu
Gao, Ge
GSDS 2.0: an upgraded gene feature visualization server
title GSDS 2.0: an upgraded gene feature visualization server
title_full GSDS 2.0: an upgraded gene feature visualization server
title_fullStr GSDS 2.0: an upgraded gene feature visualization server
title_full_unstemmed GSDS 2.0: an upgraded gene feature visualization server
title_short GSDS 2.0: an upgraded gene feature visualization server
title_sort gsds 2.0: an upgraded gene feature visualization server
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4393523/
https://www.ncbi.nlm.nih.gov/pubmed/25504850
http://dx.doi.org/10.1093/bioinformatics/btu817
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