Literature DB >> 25422679

Using VisANT to Analyze Networks.

Zhenjun Hu1.   

Abstract

VisANT is a Web-based workbench for the integrative analysis of biological networks with unique features such as exploratory navigation of interaction network and multi-scale visualization and inference with integrated hierarchical knowledge. It provides functionalities for convenient 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 and drug target) relations from either the Predictome database or user-defined data sets. Analysis capabilities include network structure analysis, overrepresentation analysis, expression enrichment analysis etc. Additionally, network 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 or any kind of subnetworks. Further, VisANT supports a growing number of standard exchange formats and database referencing standards, e.g., PSI-MI, KGML, BioPAX, SBML(in progress) Multiple species are supported to the extent that interactions or associations are available (i.e., public datasets or Predictome database).

Entities:  

Keywords:  integration; interaction; meta-network; network; visualization

Mesh:

Year:  2014        PMID: 25422679      PMCID: PMC4240741          DOI: 10.1002/0471250953.bi0808s45

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


  40 in total

1.  Predictome: a database of putative functional links between proteins.

Authors:  Joseph C Mellor; Itai Yanai; Karl H Clodfelter; Julian Mintseris; Charles DeLisi
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

Review 2.  Drug discovery enters a new era with multi-target intervention strategy.

Authors:  Xiao-ying Tian; Liang Liu
Journal:  Chin J Integr Med       Date:  2012-04-11       Impact factor: 1.978

3.  Use of genome-wide association studies for drug repositioning.

Authors:  Philippe Sanseau; Pankaj Agarwal; Michael R Barnes; Tomi Pastinen; J Brent Richards; Lon R Cardon; Vincent Mooser
Journal:  Nat Biotechnol       Date:  2012-04-10       Impact factor: 54.908

4.  The human disease network.

Authors:  Kwang-Il Goh; Michael E Cusick; David Valle; Barton Childs; Marc Vidal; Albert-László Barabási
Journal:  Proc Natl Acad Sci U S A       Date:  2007-05-14       Impact factor: 11.205

Review 5.  Tools for visually exploring biological networks.

Authors:  Matthew Suderman; Michael Hallett
Journal:  Bioinformatics       Date:  2007-08-25       Impact factor: 6.937

6.  Drug-target network.

Authors:  Muhammed A Yildirim; Kwang-Il Goh; Michael E Cusick; Albert-László Barabási; Marc Vidal
Journal:  Nat Biotechnol       Date:  2007-10       Impact factor: 54.908

7.  Signatures for drug repositioning.

Authors:  Charlotte Harrison
Journal:  Nat Rev Genet       Date:  2011-09-16       Impact factor: 53.242

8.  Systematic genetic analysis with ordered arrays of yeast deletion mutants.

Authors:  A H Tong; M Evangelista; A B Parsons; H Xu; G D Bader; N Pagé; M Robinson; S Raghibizadeh; C W Hogue; H Bussey; B Andrews; M Tyers; C Boone
Journal:  Science       Date:  2001-12-14       Impact factor: 47.728

9.  VisANT 3.5: multi-scale network visualization, analysis and inference based on the gene ontology.

Authors:  Zhenjun Hu; Jui-Hung Hung; Yan Wang; Yi-Chien Chang; Chia-Ling Huang; Matt Huyck; Charles DeLisi
Journal:  Nucleic Acids Res       Date:  2009-05-21       Impact factor: 16.971

10.  Saccharomyces genome database provides new regulation data.

Authors:  Maria C Costanzo; Stacia R Engel; Edith D Wong; Paul Lloyd; Kalpana Karra; Esther T Chan; Shuai Weng; Kelley M Paskov; Greg R Roe; Gail Binkley; Benjamin C Hitz; J Michael Cherry
Journal:  Nucleic Acids Res       Date:  2013-11-21       Impact factor: 16.971

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  5 in total

1.  Intra- and interregional coregulation of opioid genes: broken symmetry in spinal circuits.

Authors:  Olga Kononenko; Vladimir Galatenko; Malin Andersson; Igor Bazov; Hiroyuki Watanabe; Xing Wu Zhou; Anna Iatsyshyna; Irina Mityakina; Tatiana Yakovleva; Daniil Sarkisyan; Igor Ponomarev; Oleg Krishtal; Niklas Marklund; Alex Tonevitsky; DeAnna L Adkins; Georgy Bakalkin
Journal:  FASEB J       Date:  2017-01-25       Impact factor: 5.191

2.  PaintOmics 4: new tools for the integrative analysis of multi-omics datasets supported by multiple pathway databases.

Authors:  Tianyuan Liu; Pedro Salguero; Marko Petek; Carlos Martinez-Mira; Leandro Balzano-Nogueira; Živa Ramšak; Lauren McIntyre; Kristina Gruden; Sonia Tarazona; Ana Conesa
Journal:  Nucleic Acids Res       Date:  2022-05-24       Impact factor: 19.160

3.  Visualization of Metabolic Interaction Networks in Microbial Communities Using VisANT 5.0.

Authors:  Brian R Granger; Yi-Chien Chang; Yan Wang; Charles DeLisi; Daniel Segrè; Zhenjun Hu
Journal:  PLoS Comput Biol       Date:  2016-04-15       Impact factor: 4.475

4.  Frontotemporal dementia: insights into the biological underpinnings of disease through gene co-expression network analysis.

Authors:  Raffaele Ferrari; Paola Forabosco; Jana Vandrovcova; Juan A Botía; Sebastian Guelfi; Jason D Warren; Parastoo Momeni; Michael E Weale; Mina Ryten; John Hardy
Journal:  Mol Neurodegener       Date:  2016-02-24       Impact factor: 14.195

5.  Characterization of Accessible Chromatin Regions in Cattle Rumen Epithelial Tissue during Weaning.

Authors:  Clarissa Boschiero; Yahui Gao; Ransom L Baldwin; Li Ma; George E Liu; Cong-Jun Li
Journal:  Genes (Basel)       Date:  2022-03-18       Impact factor: 4.096

  5 in total

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