Gregory W Carter

Summary

Affiliation: Institute for Systems Biology
Country: USA

Publications

  1. ncbi Inferring network interactions within a cell
    Greg W Carter
    Institute for Systems Biology, 1441 N 34th Street, Seattle, WA 98103, USA
    Brief Bioinform 6:380-9. 2005
  2. pmc Disentangling information flow in the Ras-cAMP signaling network
    Gregory W Carter
    Institute for Systems Biology, Seattle, Washington 98103, USA
    Genome Res 16:520-6. 2006
  3. pmc Prediction of phenotype and gene expression for combinations of mutations
    Gregory W Carter
    Institute for Systems Biology, Seattle, WA 98103, USA
    Mol Syst Biol 3:96. 2007
  4. pmc Maximal extraction of biological information from genetic interaction data
    Gregory W Carter
    Institute for Systems Biology, Seattle, Washington, United States of America
    PLoS Comput Biol 5:e1000347. 2009
  5. pmc A systems-biology approach to modular genetic complexity
    Gregory W Carter
    Institute for Systems Biology, 1441 North 34th Street, Seattle, Washington 98103, USA
    Chaos 20:026102. 2010
  6. pmc Derivation of genetic interaction networks from quantitative phenotype data
    Becky L Drees
    Institute for Systems Biology, 1441 N, 34th Street, Seattle, WA 98103, USA
    Genome Biol 6:R38. 2005
  7. pmc Systematic measurement of transcription factor-DNA interactions by targeted mass spectrometry identifies candidate gene regulatory proteins
    Hamid Mirzaei
    Institute for Systems Biology, Seattle, WA 98109, USA
    Proc Natl Acad Sci U S A 110:3645-50. 2013
  8. pmc Biological Information as Set-Based Complexity
    David J Galas
    Institute for Systems Biology, Seattle, WA, USA Battelle Memorial Institute, Columbus, OH, USA
    IEEE Trans Inf Theory 56:667-677. 2010
  9. doi Cytoscape: a community-based framework for network modeling
    Sarah Killcoyne
    Institute for Systems Biology, Seattle, WA, USA
    Methods Mol Biol 563:219-39. 2009

Detail Information

Publications9

  1. ncbi Inferring network interactions within a cell
    Greg W Carter
    Institute for Systems Biology, 1441 N 34th Street, Seattle, WA 98103, USA
    Brief Bioinform 6:380-9. 2005
    ..Considering yeast as a model system, recent analytical methods are reviewed here and specific aims are proposed to improve network interaction inference and facilitate predictive biological modelling...
  2. pmc Disentangling information flow in the Ras-cAMP signaling network
    Gregory W Carter
    Institute for Systems Biology, Seattle, Washington 98103, USA
    Genome Res 16:520-6. 2006
    ..The resulting series of linked subnetworks maps multiple putative pathways of information flow through a dense signaling network, and provides a set of testable hypotheses for complex gene-expression effects across the genome...
  3. pmc Prediction of phenotype and gene expression for combinations of mutations
    Gregory W Carter
    Institute for Systems Biology, Seattle, WA 98103, USA
    Mol Syst Biol 3:96. 2007
    ..For corresponding combinations of mutations, the network model predicted quantitative gene expression profiles and precise phenotypic effects. Multiple predictions were tested and verified...
  4. pmc Maximal extraction of biological information from genetic interaction data
    Gregory W Carter
    Institute for Systems Biology, Seattle, Washington, United States of America
    PLoS Comput Biol 5:e1000347. 2009
    ....
  5. pmc A systems-biology approach to modular genetic complexity
    Gregory W Carter
    Institute for Systems Biology, 1441 North 34th Street, Seattle, Washington 98103, USA
    Chaos 20:026102. 2010
    ..We further discuss the consequences for genetic interaction networks and propose a framework for the analysis of genetic modularity...
  6. pmc Derivation of genetic interaction networks from quantitative phenotype data
    Becky L Drees
    Institute for Systems Biology, 1441 N, 34th Street, Seattle, WA 98103, USA
    Genome Biol 6:R38. 2005
    ..Mutations formed cliques of significant mutual information in their large-scale patterns of genetic interaction. These local and global interaction patterns reflect the effects of gene perturbations on biological processes and pathways...
  7. pmc Systematic measurement of transcription factor-DNA interactions by targeted mass spectrometry identifies candidate gene regulatory proteins
    Hamid Mirzaei
    Institute for Systems Biology, Seattle, WA 98109, USA
    Proc Natl Acad Sci U S A 110:3645-50. 2013
    ..These results demonstrate the utility of SRM-based targeted proteomics to guide the identification of gene-specific transcriptional regulators...
  8. pmc Biological Information as Set-Based Complexity
    David J Galas
    Institute for Systems Biology, Seattle, WA, USA Battelle Memorial Institute, Columbus, OH, USA
    IEEE Trans Inf Theory 56:667-677. 2010
    ..The maximization of this new measure, which can be formulated in terms of the universal information distance, appears to have several useful and interesting properties, some of which we illustrate with examples...
  9. doi Cytoscape: a community-based framework for network modeling
    Sarah Killcoyne
    Institute for Systems Biology, Seattle, WA, USA
    Methods Mol Biol 563:219-39. 2009
    ..It also describes the development of a plugin used to investigate a particular research question in systems biology and walks through an example analysis using Cytoscape...