Literature DB >> 14597658

Cytoscape: a software environment for integrated models of biomolecular interaction networks.

Paul Shannon1, Andrew Markiel, Owen Ozier, Nitin S Baliga, Jonathan T Wang, Daniel Ramage, Nada Amin, Benno Schwikowski, Trey Ideker.   

Abstract

Cytoscape is an open source software project for integrating biomolecular interaction networks with high-throughput expression data and other molecular states into a unified conceptual framework. Although applicable to any system of molecular components and interactions, Cytoscape is most powerful when used in conjunction with large databases of protein-protein, protein-DNA, and genetic interactions that are increasingly available for humans and model organisms. Cytoscape's software Core provides basic functionality to layout and query the network; to visually integrate the network with expression profiles, phenotypes, and other molecular states; and to link the network to databases of functional annotations. The Core is extensible through a straightforward plug-in architecture, allowing rapid development of additional computational analyses and features. Several case studies of Cytoscape plug-ins are surveyed, including a search for interaction pathways correlating with changes in gene expression, a study of protein complexes involved in cellular recovery to DNA damage, inference of a combined physical/functional interaction network for Halobacterium, and an interface to detailed stochastic/kinetic gene regulatory models.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 14597658      PMCID: PMC403769          DOI: 10.1101/gr.1239303

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  30 in total

1.  Protein interaction maps for complete genomes based on gene fusion events.

Authors:  A J Enright; I Iliopoulos; N C Kyrpides; C A Ouzounis
Journal:  Nature       Date:  1999-11-04       Impact factor: 49.962

2.  BIND--The Biomolecular Interaction Network Database.

Authors:  G D Bader; I Donaldson; C Wolting; B F Ouellette; T Pawson; C W Hogue
Journal:  Nucleic Acids Res       Date:  2001-01-01       Impact factor: 16.971

3.  The TRANSFAC system on gene expression regulation.

Authors:  E Wingender; X Chen; E Fricke; R Geffers; R Hehl; I Liebich; M Krull; V Matys; H Michael; R Ohnhäuser; M Prüss; F Schacherer; S Thiele; S Urbach
Journal:  Nucleic Acids Res       Date:  2001-01-01       Impact factor: 16.971

4.  A systematic approach to the analysis of protein phosphorylation.

Authors:  H Zhou; J D Watts; R Aebersold
Journal:  Nat Biotechnol       Date:  2001-04       Impact factor: 54.908

5.  Modelling cellular behaviour.

Authors:  D Endy; R Brent
Journal:  Nature       Date:  2001-01-18       Impact factor: 49.962

6.  Pathway databases: a case study in computational symbolic theories.

Authors:  P D Karp
Journal:  Science       Date:  2001-09-14       Impact factor: 47.728

Review 7.  Protein interaction databases.

Authors:  I Xenarios; D Eisenberg
Journal:  Curr Opin Biotechnol       Date:  2001-08       Impact factor: 9.740

8.  Creating the gene ontology resource: design and implementation.

Authors: 
Journal:  Genome Res       Date:  2001-08       Impact factor: 9.043

Review 9.  The Virtual Cell: a software environment for computational cell biology.

Authors:  L M Loew; J C Schaff
Journal:  Trends Biotechnol       Date:  2001-10       Impact factor: 19.536

10.  Quantitative analysis of complex protein mixtures using isotope-coded affinity tags.

Authors:  S P Gygi; B Rist; S A Gerber; F Turecek; M H Gelb; R Aebersold
Journal:  Nat Biotechnol       Date:  1999-10       Impact factor: 54.908

View more
  2000 in total

1.  Circular RNAs in rat models of cardiovascular and renal diseases.

Authors:  Xi Cheng; Bina Joe
Journal:  Physiol Genomics       Date:  2017-08-04       Impact factor: 3.107

2.  GeneDive: A gene interaction search and visualization tool to facilitate precision medicine.

Authors:  Paul Previde; Brook Thomas; Mike Wong; Emily K Mallory; Dragutin Petkovic; Russ B Altman; Anagha Kulkarni
Journal:  Pac Symp Biocomput       Date:  2018

3.  A BAG3 chaperone complex maintains cardiomyocyte function during proteotoxic stress.

Authors:  Luke M Judge; Juan A Perez-Bermejo; Annie Truong; Alexandre Js Ribeiro; Jennie C Yoo; Christina L Jensen; Mohammad A Mandegar; Nathaniel Huebsch; Robyn M Kaake; Po-Lin So; Deepak Srivastava; Beth L Pruitt; Nevan J Krogan; Bruce R Conklin
Journal:  JCI Insight       Date:  2017-07-20

4.  Molecular characterization of Brassica napus stress related transcription factors, BnMYB44 and BnVIP1, selected based on comparative analysis of Arabidopsis thaliana and Eutrema salsugineum transcriptomes.

Authors:  Roohollah Shamloo-Dashtpagerdi; Hooman Razi; Esmaeil Ebrahimie; Ali Niazi
Journal:  Mol Biol Rep       Date:  2018-07-23       Impact factor: 2.316

5.  Network analysis of pseudogene-gene relationships: from pseudogene evolution to their functional potentials.

Authors:  Travis S Johnson; Sihong Li; Jonathan R Kho; Kun Huang; Yan Zhang
Journal:  Pac Symp Biocomput       Date:  2018

Review 6.  Intercalated discs: multiple proteins perform multiple functions in non-failing and failing human hearts.

Authors:  Colleen B Estigoy; Fredrik Pontén; Jacob Odeberg; Benjamin Herbert; Michael Guilhaus; Michael Charleston; Joshua W K Ho; Darryl Cameron; Cristobal G Dos Remedios
Journal:  Biophys Rev       Date:  2009-01-22

Review 7.  Beyond modules and hubs: the potential of gene coexpression networks for investigating molecular mechanisms of complex brain disorders.

Authors:  C Gaiteri; Y Ding; B French; G C Tseng; E Sibille
Journal:  Genes Brain Behav       Date:  2013-12-10       Impact factor: 3.449

8.  Insight into protein S-nitrosylation in Chlamydomonas reinhardtii.

Authors:  Samuel Morisse; Mirko Zaffagnini; Xing-Huang Gao; Stéphane D Lemaire; Christophe H Marchand
Journal:  Antioxid Redox Signal       Date:  2014-03-06       Impact factor: 8.401

9.  Transcriptional survey of alveolar macrophages in a murine model of chronic granulomatous inflammation reveals common themes with human sarcoidosis.

Authors:  Arjun Mohan; Anagha Malur; Matthew McPeek; Barbara P Barna; Lynn M Schnapp; Mary Jane Thomassen; Sina A Gharib
Journal:  Am J Physiol Lung Cell Mol Physiol       Date:  2017-12-06       Impact factor: 5.464

10.  Alkylation sensitivity screens reveal a conserved cross-species functionome.

Authors:  David Svilar; Madhu Dyavaiah; Ashley R Brown; Jiang-bo Tang; Jianfeng Li; Peter R McDonald; Tong Ying Shun; Andrea Braganza; Xiao-hong Wang; Salony Maniar; Claudette M St Croix; John S Lazo; Ian F Pollack; Thomas J Begley; Robert W Sobol
Journal:  Mol Cancer Res       Date:  2012-10-04       Impact factor: 5.852

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.