NetBioV: An R package for visualizing large network data in biology and medicine

Shailesh Tripathi; Matthias Dehmer; Frank Emmert-Streib

doi:10.1093/bioinformatics/btu384

NetBioV: An R package for visualizing large network data in biology and medicine

Shailesh Tripathi, Matthias Dehmer, Frank Emmert-Streib

Research output: Contribution to journal › Article › peer-review

38 Citations (Scopus)

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.

Original language	English
Pages (from-to)	2834-2836
Number of pages	3
Journal	Bioinformatics
Volume	30
Issue number	19
DOIs	https://doi.org/10.1093/bioinformatics/btu384
Publication status	Published - Oct 2014
Externally published	Yes

Keywords

Algorithms
Arabidopsis/metabolism
Computational Biology/methods
Computer Graphics
Gene Regulatory Networks
Humans
Lymphoma, B-Cell/metabolism
Programming Languages
Reproducibility of Results
Software

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10.1093/bioinformatics/btu384

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title = "NetBioV: An R package for visualizing large network data in biology and medicine",

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.",

keywords = "Algorithms, Arabidopsis/metabolism, Computational Biology/methods, Computer Graphics, Gene Regulatory Networks, Humans, Lymphoma, B-Cell/metabolism, Programming Languages, Reproducibility of Results, Software",

author = "Shailesh Tripathi and Matthias Dehmer and Frank Emmert-Streib",

year = "2014",

month = oct,

doi = "10.1093/bioinformatics/btu384",

language = "English",

volume = "30",

pages = "2834--2836",

journal = "Bioinformatics",

issn = "1367-4803",

publisher = "Oxford University Press",

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AU - Tripathi, Shailesh

AU - Dehmer, Matthias

AU - Emmert-Streib, Frank

PY - 2014/10

Y1 - 2014/10

N2 - 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.

AB - 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.

KW - Algorithms

KW - Arabidopsis/metabolism

KW - Computational Biology/methods

KW - Computer Graphics

KW - Gene Regulatory Networks

KW - Humans

KW - Lymphoma, B-Cell/metabolism

KW - Programming Languages

KW - Reproducibility of Results

KW - Software

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M3 - Article

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SN - 1367-4803

VL - 30

SP - 2834

EP - 2836

JO - Bioinformatics

JF - Bioinformatics

IS - 19

ER -

NetBioV: An R package for visualizing large network data in biology and medicine

Abstract

Keywords

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