Literature DB >> 24045689

Integrative approaches for finding modular structure in biological networks.

Koyel Mitra1, Anne-Ruxandra Carvunis, Sanath Kumar Ramesh, Trey Ideker.   

Abstract

A central goal of systems biology is to elucidate the structural and functional architecture of the cell. To this end, large and complex networks of molecular interactions are being rapidly generated for humans and model organisms. A recent focus of bioinformatics research has been to integrate these networks with each other and with diverse molecular profiles to identify sets of molecules and interactions that participate in a common biological function - that is, 'modules'. Here, we classify such integrative approaches into four broad categories, describe their bioinformatic principles and review their applications.

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Year:  2013        PMID: 24045689      PMCID: PMC3940161          DOI: 10.1038/nrg3552

Source DB:  PubMed          Journal:  Nat Rev Genet        ISSN: 1471-0056            Impact factor:   53.242


  171 in total

1.  Network motifs: simple building blocks of complex networks.

Authors:  R Milo; S Shen-Orr; S Itzkovitz; N Kashtan; D Chklovskii; U Alon
Journal:  Science       Date:  2002-10-25       Impact factor: 47.728

2.  Revealing modularity and organization in the yeast molecular network by integrated analysis of highly heterogeneous genomewide data.

Authors:  Amos Tanay; Roded Sharan; Martin Kupiec; Ron Shamir
Journal:  Proc Natl Acad Sci U S A       Date:  2004-02-18       Impact factor: 11.205

3.  Identifying functional modules using expression profiles and confidence-scored protein interactions.

Authors:  Igor Ulitsky; Ron Shamir
Journal:  Bioinformatics       Date:  2009-03-17       Impact factor: 6.937

Review 4.  Protein networks in disease.

Authors:  Trey Ideker; Roded Sharan
Journal:  Genome Res       Date:  2008-04       Impact factor: 9.043

5.  Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox v2.0.

Authors:  Jan Schellenberger; Richard Que; Ronan M T Fleming; Ines Thiele; Jeffrey D Orth; Adam M Feist; Daniel C Zielinski; Aarash Bordbar; Nathan E Lewis; Sorena Rahmanian; Joseph Kang; Daniel R Hyduke; Bernhard Ø Palsson
Journal:  Nat Protoc       Date:  2011-08-04       Impact factor: 13.491

6.  Selected reaction monitoring mass spectrometry reveals the dynamics of signaling through the GRB2 adaptor.

Authors:  Nicolas Bisson; D Andrew James; Gordana Ivosev; Stephen A Tate; Ron Bonner; Lorne Taylor; Tony Pawson
Journal:  Nat Biotechnol       Date:  2011-06-26       Impact factor: 54.908

7.  Discovering functional modules by identifying recurrent and mutually exclusive mutational patterns in tumors.

Authors:  Christopher A Miller; Stephen H Settle; Erik P Sulman; Kenneth D Aldape; Aleksandar Milosavljevic
Journal:  BMC Med Genomics       Date:  2011-04-14       Impact factor: 3.063

8.  Too many roads not taken.

Authors:  Aled M Edwards; Ruth Isserlin; Gary D Bader; Stephen V Frye; Timothy M Willson; Frank H Yu
Journal:  Nature       Date:  2011-02-10       Impact factor: 49.962

9.  Identification of protein complexes by comparative analysis of yeast and bacterial protein interaction data.

Authors:  Roded Sharan; Trey Ideker; Brian Kelley; Ron Shamir; Richard M Karp
Journal:  J Comput Biol       Date:  2005 Jul-Aug       Impact factor: 1.479

10.  Graph-based iterative Group Analysis enhances microarray interpretation.

Authors:  Rainer Breitling; Anna Amtmann; Pawel Herzyk
Journal:  BMC Bioinformatics       Date:  2004-07-23       Impact factor: 3.169

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  194 in total

1.  Graphery: interactive tutorials for biological network algorithms.

Authors:  Heyuan Zeng; Jinbiao Zhang; Gabriel A Preising; Tobias Rubel; Pramesh Singh; Anna Ritz
Journal:  Nucleic Acids Res       Date:  2021-07-02       Impact factor: 16.971

Review 2.  Genes affecting β-cell function in type 1 diabetes.

Authors:  Tina Fløyel; Simranjeet Kaur; Flemming Pociot
Journal:  Curr Diab Rep       Date:  2015-11       Impact factor: 4.810

Review 3.  Methods for biological data integration: perspectives and challenges.

Authors:  Vladimir Gligorijević; Nataša Pržulj
Journal:  J R Soc Interface       Date:  2015-11-06       Impact factor: 4.118

4.  NetworkAnalyst for statistical, visual and network-based meta-analysis of gene expression data.

Authors:  Jianguo Xia; Erin E Gill; Robert E W Hancock
Journal:  Nat Protoc       Date:  2015-05-07       Impact factor: 13.491

Review 5.  Systems biology: perspectives on multiscale modeling in research on endocrine-related cancers.

Authors:  Robert Clarke; John J Tyson; Ming Tan; William T Baumann; Lu Jin; Jianhua Xuan; Yue Wang
Journal:  Endocr Relat Cancer       Date:  2019-06       Impact factor: 5.678

6.  cMonkey2: Automated, systematic, integrated detection of co-regulated gene modules for any organism.

Authors:  David J Reiss; Christopher L Plaisier; Wei-Ju Wu; Nitin S Baliga
Journal:  Nucleic Acids Res       Date:  2015-04-14       Impact factor: 16.971

7.  Conserved abundance and topological features in chromatin-remodeling protein interaction networks.

Authors:  Mihaela E Sardiu; Joshua M Gilmore; Brad D Groppe; Damir Herman; Sreenivasa R Ramisetty; Yong Cai; Jingji Jin; Ronald C Conaway; Joan W Conaway; Laurence Florens; Michael P Washburn
Journal:  EMBO Rep       Date:  2014-11-26       Impact factor: 8.807

8.  A robust and efficient method for estimating enzyme complex abundance and metabolic flux from expression data.

Authors:  Narayanan Sadagopan; Yiping Wang; Brandon E Barker; Kieran Smallbone; Christopher R Myers; Hongwei Xi; Jason W Locasale; Zhenglong Gu
Journal:  Comput Biol Chem       Date:  2015-09-01       Impact factor: 2.877

9.  Biological Interpretation of Complex Genomic Data.

Authors:  Kathleen M Fisch
Journal:  Methods Mol Biol       Date:  2019

10.  A Gateway between Omics Data and Systems Biology.

Authors:  Fabian V Filipp
Journal:  J Metabolomics Syst Biol       Date:  2013-11-01
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