Shailesh Tripathi1, Matthias Dehmer2, Frank Emmert-Streib1. 1. 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. 2. 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.
Abstract
SUMMARY: 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. AVAILABILITY AND IMPLEMENTATION: 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.
SUMMARY: 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. AVAILABILITY AND IMPLEMENTATION: 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.
Authors: Muhammad A Alvi; Darragh G McArt; Paul Kelly; Marc-Aurel Fuchs; Matthew Alderdice; Clare M McCabe; Victoria Bingham; Claire McGready; Shailesh Tripathi; Frank Emmert-Streib; Maurice B Loughrey; Stephen McQuaid; Perry Maxwell; Peter W Hamilton; Richard Turkington; Jacqueline A James; Richard H Wilson; Manuel Salto-Tellez Journal: Oncotarget Date: 2015-08-28