Gregory W Carter
Affiliation: Institute for Systems Biology
- Inferring network interactions within a cellGreg 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...
- Disentangling information flow in the Ras-cAMP signaling networkGregory 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...
- Prediction of phenotype and gene expression for combinations of mutationsGregory 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...
- Maximal extraction of biological information from genetic interaction dataGregory W Carter
Institute for Systems Biology, Seattle, Washington, United States of America
PLoS Comput Biol 5:e1000347. 2009....
- A systems-biology approach to modular genetic complexityGregory 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...
- Derivation of genetic interaction networks from quantitative phenotype dataBecky 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...
- Systematic measurement of transcription factor-DNA interactions by targeted mass spectrometry identifies candidate gene regulatory proteinsHamid 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...
- Cytoscape: a community-based framework for network modelingSarah 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...
- Inference and Testing of Quantitative Models of Genetic InteractionGregory Carter; Fiscal Year: 2007....