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Gene Graphics: a genomic neighborhood data visualization web application
Author(s) -
Katherine Harrison,
Valérie de CrécyLagard,
Rémi Zallot
Publication year - 2017
Publication title -
bioinformatics
Language(s) - Spanish
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btx793
Subject(s) - scalable vector graphics , computer science , graphics , identifier , computer graphics , genbank , visualization , source code , gene , information retrieval , world wide web , database , computer graphics (images) , data mining , biology , genetics , programming language
The examination of gene neighborhood is an integral part of comparative genomics but no tools to produce publication quality graphics of gene clusters are available. Gene Graphics is a straightforward web application for creating such visuals. Supported inputs include National Center for Biotechnology Information gene and protein identifiers with automatic fetching of neighboring information, GenBank files and data extracted from the SEED database. Gene representations can be customized for many parameters including gene and genome names, colors and sizes. Gene attributes can be copied and pasted for rapid and user-friendly customization of homologous genes between species. In addition to Portable Network Graphics and Scalable Vector Graphics, produced representations can be exported as Tagged Image File Format or Encapsulated PostScript, formats that are standard for publication. Hands-on tutorials with real life examples inspired from publications are available for training.

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