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Gene Graphics: a genomic neighborhood data visualization web application

2017; Oxford University Press; Volume: 34; Issue: 8 Linguagem: Inglês

10.1093/bioinformatics/btx793

1367-4811

Katherine Harrison, Valérie de Crécy‐Lagard, Rémi Zallot,

Gene expression and cancer classification

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.Gene Graphics is freely available at https://katlabs.cc/genegraphics/ and source code is hosted at https://github.com/katlabs/genegraphics.katherinejh@ufl.edu or remizallot@ufl.edu.Supplementary data are available at Bioinformatics online.