Tripathi Shailesh, Dehmer Matthias, Emmert-Streib Frank
Computational Biology and Machine Learning Laboratory, Center for Cancer Research and Cell Biology, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast BT9 7BL, UK, Institute for Bioinformatics and Translational Research, UMIT, 6060, Hall in Tyrol, Austria and Department of Computer Science, Universität der Bundeswehr München, 85577 Neubiberg, Germany.
Computational Biology and Machine Learning Laboratory, Center for Cancer Research and Cell Biology, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast BT9 7BL, UK, Institute for Bioinformatics and Translational Research, UMIT, 6060, Hall in Tyrol, Austria and Department of Computer Science, Universität der Bundeswehr München, 85577 Neubiberg, Germany Computational Biology and Machine Learning Laboratory, Center for Cancer Research and Cell Biology, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast BT9 7BL, UK, Institute for Bioinformatics and Translational Research, UMIT, 6060, Hall in Tyrol, Austria and Department of Computer Science, Universität der Bundeswehr München, 85577 Neubiberg, Germany.
Bioinformatics. 2014 Oct;30(19):2834-6. doi: 10.1093/bioinformatics/btu384. Epub 2014 Jun 12.
NetBioV (Network Biology Visualization) is an R package that allows the visualization of large network data in biology and medicine. The purpose of NetBioV is to enable an organized and reproducible visualization of networks by emphasizing or highlighting specific structural properties that are of biological relevance.
NetBioV is freely available for academic use. The package has been tested for R 2.14.2 under Linux, Windows and Mac OS X. It is available from Bioconductor.
NetBioV(网络生物学可视化)是一个R软件包,可用于可视化生物学和医学中的大型网络数据。NetBioV的目的是通过强调或突出显示具有生物学相关性的特定结构属性,实现对网络的有组织且可重复的可视化。
NetBioV可免费用于学术用途。该软件包已在Linux、Windows和Mac OS X系统下针对R 2.14.2进行了测试。可从Bioconductor获取。