title: NetBioV: an R package for visualizing large network data in biology and medicine.
abstract: CONCLUSIONS
  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.
  
  
  METHODS
  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.affiliation: 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.
authors.forename: Shailesh
authors.initials: S
authors.lastname: Tripathi
authors.affiliation: 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.
authors.forename: Matthias
authors.initials: M
authors.lastname: Dehmer
authors.affiliation: 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.
authors.forename: Frank
authors.initials: F
authors.lastname: Emmert-Streib
mesh_terms: D000465:Algorithms; D017360:Arabidopsis / Q000378:metabolism; D019295:Computational Biology / Q000379:methods*; D003196:Computer Graphics; D053263:Gene Regulatory Networks; D006801:Humans; D016393:Lymphoma, B-Cell / Q000378:metabolism; D011381:Programming Languages; D015203:Reproducibility of Results; D012984:Software