Literature DB >> 15485347

Molecular networks in model systems.

Timothy Galitski1.   

Abstract

Model organisms, especially the budding yeast, are leading systems in the transformation of biology into an information science. With the availability of genome sequences and genome-scale data generation technologies, the extraction of biological insight from complex integrated molecular networks has become a major area of research. Here I examine key concepts and review research developments. I propose specific areas of research effort to drive network analysis in directions that will promote modeling with increasing predictive power.

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Mesh:

Year:  2004        PMID: 15485347     DOI: 10.1146/annurev.genom.5.061903.180053

Source DB:  PubMed          Journal:  Annu Rev Genomics Hum Genet        ISSN: 1527-8204            Impact factor:   8.929


  8 in total

Review 1.  A systems-biology approach to modular genetic complexity.

Authors:  Gregory W Carter; Cynthia G Rush; Filiz Uygun; Nikita A Sakhanenko; David J Galas; Timothy Galitski
Journal:  Chaos       Date:  2010-06       Impact factor: 3.642

2.  Prediction of active nodes in the transcriptional network of neural tube patterning.

Authors:  Chrissa Kioussi; Hung-Ping Shih; John Loflin; Michael K Gross
Journal:  Proc Natl Acad Sci U S A       Date:  2006-11-28       Impact factor: 11.205

Review 3.  Lessons learned and unlearned in periodontal microbiology.

Authors:  Ricardo Teles; Flavia Teles; Jorge Frias-Lopez; Bruce Paster; Anne Haffajee
Journal:  Periodontol 2000       Date:  2013-06       Impact factor: 7.589

4.  Systems genetics of the nuclear factor-κB signal transduction network. I. Detection of several quantitative trait loci potentially relevant to aging.

Authors:  Vincent P Diego; Joanne E Curran; Jac Charlesworth; Juan M Peralta; V Saroja Voruganti; Shelley A Cole; Thomas D Dyer; Matthew P Johnson; Eric K Moses; Harald H H Göring; Jeff T Williams; Anthony G Comuzzie; Laura Almasy; John Blangero; Sarah Williams-Blangero
Journal:  Mech Ageing Dev       Date:  2011-12-01       Impact factor: 5.432

5.  Prediction of phenotype and gene expression for combinations of mutations.

Authors:  Gregory W Carter; Susanne Prinz; Christine Neou; J Patrick Shelby; Bruz Marzolf; Vesteinn Thorsson; Timothy Galitski
Journal:  Mol Syst Biol       Date:  2007-03-27       Impact factor: 11.429

6.  SBEAMS-Microarray: database software supporting genomic expression analyses for systems biology.

Authors:  Bruz Marzolf; Eric W Deutsch; Patrick Moss; David Campbell; Michael H Johnson; Timothy Galitski
Journal:  BMC Bioinformatics       Date:  2006-06-06       Impact factor: 3.169

7.  Tools enabling the elucidation of molecular pathways active in human disease: application to Hepatitis C virus infection.

Authors:  David J Reiss; Iliana Avila-Campillo; Vesteinn Thorsson; Benno Schwikowski; Timothy Galitski
Journal:  BMC Bioinformatics       Date:  2005-06-20       Impact factor: 3.169

8.  Derivation of genetic interaction networks from quantitative phenotype data.

Authors:  Becky L Drees; Vesteinn Thorsson; Gregory W Carter; Alexander W Rives; Marisa Z Raymond; Iliana Avila-Campillo; Paul Shannon; Timothy Galitski
Journal:  Genome Biol       Date:  2005-03-31       Impact factor: 13.583

  8 in total

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