Literature DB >> 18428738

Analyzing networks with VisANT.

Zhenjun Hu1, Joseph Mellor, Charles DeLisi.   

Abstract

The VisANT tool, accessible from any recent Java-enabled browser, is a platform-independent, flexible, Web-enabled program for quick and simple construction, visualization, and analysis of molecular and higher order networks based on functional (e.g., expression profiles, phylogenetic profiles) and physical (e.g., yeast two-hybrid, chromatin-immunoprecipitation) relations from either the Predictome database or user-defined data sets. Analysis capabilities include identification of feed-forward and -back loops, shortest paths, and node degree distribution. Additionally, network constructs can be saved, accessed, and shared online. VisANT is able to develop and display meta-networks for meta-nodes that are structural complexes or pathways (soon including nodes representing any kind of dense cluster). Further, VisANT supports a growing number of standard exchange formats and database referencing standards, e.g., KEGG/KGML, BioPAX (in progress), GenBank, Gene Ontology. Multiple species are supported to the extent that computed or experimental evidence of interactions or associations are available (i.e., public datasets or Predictome database).

Mesh:

Substances:

Year:  2004        PMID: 18428738     DOI: 10.1002/0471250953.bi0808s08

Source DB:  PubMed          Journal:  Curr Protoc Bioinformatics        ISSN: 1934-3396


  6 in total

1.  Detection of locally over-represented GO terms in protein-protein interaction networks.

Authors:  Mathieu Lavallée-Adam; Benoit Coulombe; Mathieu Blanchette
Journal:  J Comput Biol       Date:  2010-03       Impact factor: 1.479

2.  VisANT: data-integrating visual framework for biological networks and modules.

Authors:  Zhenjun Hu; Joe Mellor; Jie Wu; Takuji Yamada; Dustin Holloway; Charles Delisi
Journal:  Nucleic Acids Res       Date:  2005-07-01       Impact factor: 16.971

3.  KEGGViewer, a BioJS component to visualize KEGG Pathways.

Authors:  Jose M Villaveces; Rafael C Jimenez; Bianca H Habermann
Journal:  F1000Res       Date:  2014-02-13

4.  Functional characterization of breast cancer using pathway profiles.

Authors:  Feng Tian; Yajie Wang; Michael Seiler; Zhenjun Hu
Journal:  BMC Med Genomics       Date:  2014-07-21       Impact factor: 3.063

5.  RNAi based transcriptome suggests genes potentially regulated by HSF1 in the Pacific oyster Crassostrea gigas under thermal stress.

Authors:  Youli Liu; Li Li; Baoyu Huang; Wei Wang; Guofan Zhang
Journal:  BMC Genomics       Date:  2019-08-08       Impact factor: 3.969

6.  Gene networks orchestrated by MeGI: a single-factor mechanism underlying sex determination in persimmon.

Authors:  Ho-Wen Yang; Takashi Akagi; Taiji Kawakatsu; Ryutaro Tao
Journal:  Plant J       Date:  2019-02-14       Impact factor: 6.417

  6 in total

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