MyBioNet: interactively visualize, edit and merge biological networks on the web

Donglin Huang; Yiling Huang; Youhuang Bai; Dijun Chen; Ralf Hofestädt; Christian Klukas; Ming Chen

doi:10.1093/bioinformatics/btr557

MyBioNet: interactively visualize, edit and merge biological networks on the web

Bioinformatics. 2011 Dec 1;27(23):3321-2. doi: 10.1093/bioinformatics/btr557. Epub 2011 Oct 7.

Authors

Donglin Huang¹, Yiling Huang, Youhuang Bai, Dijun Chen, Ralf Hofestädt, Christian Klukas, Ming Chen

Affiliation

¹ Department of Bioinformatics, State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou 310058, China.

PMID: 21984760
DOI: 10.1093/bioinformatics/btr557

Abstract

Summary: MyBioNet is a web-based application for biological network analysis, which provides user-friendly web interfaces to visualize, edit and merge biological networks. In addition, MyBioNet integrated KEGG metabolic network data from 1366 organisms and allows users to search and navigate interesting networks.

Availability and implementation: All KEGG metabolic network data are organized and stored in the MySQL database. MyBioNet is implemented in Flex/Actionscript and PHP languages and deployed on an Apache web server. MyBioNet is accessible through all the Flash-embedded browsers at http://bis.zju.edu.cn/mybionet/.

Contact: mchen@zju.edu.cn.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Algorithms
Computational Biology
Databases, Factual
Humans
Internet
Metabolic Networks and Pathways*
Oryza / metabolism
Software*
User-Computer Interface