Literature DB >> 20861032

DisGeNET: a Cytoscape plugin to visualize, integrate, search and analyze gene-disease networks.

Anna Bauer-Mehren1, Michael Rautschka, Ferran Sanz, Laura I Furlong.   

Abstract

UNLABELLED: DisGeNET is a plugin for Cytoscape to query and analyze human gene-disease networks. DisGeNET allows user-friendly access to a new gene-disease database that we have developed by integrating data from several public sources. DisGeNET permits queries restricted to (i) the original data source, (ii) the association type, (iii) the disease class or (iv) specific gene(s)/disease(s). It represents gene-disease associations in terms of bipartite graphs and provides gene centric and disease centric views of the data. It assists the user in the interpretation and exploration of the genetic basis of human diseases by a variety of built-in functions. Moreover, DisGeNET permits multicolouring of nodes (genes/diseases) according to standard disease classification for expedient visualization. AVAILABILITY: DisGeNET is compatible with Cytoscape 2.6.3 and 2.7.0, please visit http://ibi.imim.es/DisGeNET/DisGeNETweb.html for installation guide, user tutorial and download.

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Year:  2010        PMID: 20861032     DOI: 10.1093/bioinformatics/btq538

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  84 in total

1.  Systematic analysis of gene properties influencing organ system phenotypes in mammalian perturbations.

Authors:  Ingo Vogt; Jeanette Prinz; Karolina Worf; Monica Campillos
Journal:  Bioinformatics       Date:  2014-07-23       Impact factor: 6.937

2.  Personalized respiratory medicine: exploring the horizon, addressing the issues. Summary of a BRN-AJRCCM workshop held in Barcelona on June 12, 2014.

Authors:  Alvar Agustí; Josep Maria Antó; Charles Auffray; Ferran Barbé; Esther Barreiro; Jordi Dorca; Joan Escarrabill; Rosa Faner; Laura I Furlong; Judith Garcia-Aymerich; Joaquim Gea; Bertil Lindmark; Eduard Monsó; Vicente Plaza; Milo A Puhan; Josep Roca; Juan Ruiz-Manzano; Laura Sampietro-Colom; Ferran Sanz; Luis Serrano; James Sharpe; Oriol Sibila; Edwin K Silverman; Peter J Sterk; Jacob I Sznajder
Journal:  Am J Respir Crit Care Med       Date:  2015-02-15       Impact factor: 21.405

Review 3.  Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review.

Authors:  Peter Csermely; Tamás Korcsmáros; Huba J M Kiss; Gábor London; Ruth Nussinov
Journal:  Pharmacol Ther       Date:  2013-02-04       Impact factor: 12.310

4.  Molecularly and clinically related drugs and diseases are enriched in phenotypically similar drug-disease pairs.

Authors:  Ingo Vogt; Jeanette Prinz; Mónica Campillos
Journal:  Genome Med       Date:  2014-08-17       Impact factor: 11.117

5.  Organ system heterogeneity DB: a database for the visualization of phenotypes at the organ system level.

Authors:  Deepthi Mannil; Ingo Vogt; Jeanette Prinz; Monica Campillos
Journal:  Nucleic Acids Res       Date:  2014-10-13       Impact factor: 16.971

6.  TFmiR: a web server for constructing and analyzing disease-specific transcription factor and miRNA co-regulatory networks.

Authors:  Mohamed Hamed; Christian Spaniol; Maryam Nazarieh; Volkhard Helms
Journal:  Nucleic Acids Res       Date:  2015-05-05       Impact factor: 16.971

7.  Biomarker identification of hepatocellular carcinoma using a methodical literature mining strategy.

Authors:  Nai-Wen Chang; Hong-Jie Dai; Yung-Yu Shih; Chi-Yang Wu; Mira Anne C Dela Rosa; Rofeamor P Obena; Yu-Ju Chen; Wen-Lian Hsu; Yen-Jen Oyang
Journal:  Database (Oxford)       Date:  2017-01-01       Impact factor: 3.451

8.  Cell type-selective disease-association of genes under high regulatory load.

Authors:  Mafalda Galhardo; Philipp Berninger; Thanh-Phuong Nguyen; Thomas Sauter; Lasse Sinkkonen
Journal:  Nucleic Acids Res       Date:  2015-09-03       Impact factor: 16.971

9.  Detection of differentially methylated gene promoters in failing and nonfailing human left ventricle myocardium using computation analysis.

Authors:  Christopher A Koczor; Eva K Lee; Rebecca A Torres; Amy Boyd; J David Vega; Karan Uppal; Fan Yuan; Earl J Fields; Allen M Samarel; William Lewis
Journal:  Physiol Genomics       Date:  2013-05-21       Impact factor: 3.107

10.  Prioritizing disease-linked variants, genes, and pathways with an interactive whole-genome analysis pipeline.

Authors:  In-Hee Lee; Kyungjoon Lee; Michael Hsing; Yongjoon Choe; Jin-Ho Park; Shu Hee Kim; Justin M Bohn; Matthew B Neu; Kyu-Baek Hwang; Robert C Green; Isaac S Kohane; Sek Won Kong
Journal:  Hum Mutat       Date:  2014-03-06       Impact factor: 4.878

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