Nancy Van Driessche and Janez Demsar and Ezgi O Booth and Paul Hill and Peter Juvan and Blaz Zupan and Adam Kuspa and Gad Shaulsky (2005) Epistasis analysis with global transcriptional phenotypes. Nature Genetics, 37 (5). pp. 471-477.
Abstract
Classical epistasis analysis can determine the order of function of genes in pathways using morphological, biochemical and other phenotypes. It requires knowledge of the pathway's phenotypic output and a variety of experimental expertise and so is unsuitable for genome-scale analysis. Here we used microarray profiles of mutants as phenotypes for epistasis analysis. Considering genes that regulate activity of protein kinase A in Dictyostelium, we identified known and unknown epistatic relationships and reconstructed a genetic network with microarray phenotypes alone. This work shows that microarray data can provide a uniform, quantitative tool for large-scale genetic network analysis.
| Item Type: | Article |
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| Keywords: | epistasis, gene networks, phenotypes, morphology |
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| Related URLs: | |
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| Institution: | University of Ljubljana |
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| Department: | Faculty of Computer and Information Science |
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| Divisions: | Faculty of Computer and Information Science > Artificial Intelligence Laboratory |
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| Item ID: | 894 |
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| Date Deposited: | 19 Aug 2009 13:50 |
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| Last Modified: | 05 Dec 2013 15:22 |
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| URI: | http://eprints.fri.uni-lj.si/id/eprint/894 |
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