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Derivation of genetic interaction networks from quantitative phenotype data
We have generalized the derivation of genetic-interaction networks from quantitative phenotype data. Familiar and unfamiliar modes of genetic interaction were identified and defined. A network was derived from agar-invasion phenotypes of mutant yeast. Mutations showed specific modes of genetic inter...
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Published in: | Genome biology 2005-01, Vol.6 (4), p.R38-R38, Article R38 |
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container_end_page | R38 |
container_issue | 4 |
container_start_page | R38 |
container_title | Genome biology |
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creator | Drees, Becky L Thorsson, Vesteinn Carter, Gregory W Rives, Alexander W Raymond, Marisa Z Avila-Campillo, Iliana Shannon, Paul Galitski, Timothy |
description | We have generalized the derivation of genetic-interaction networks from quantitative phenotype data. Familiar and unfamiliar modes of genetic interaction were identified and defined. A network was derived from agar-invasion phenotypes of mutant yeast. Mutations showed specific modes of genetic interaction with specific biological processes. 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. |
doi_str_mv | 10.1186/gb-2005-6-4-r38 |
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Familiar and unfamiliar modes of genetic interaction were identified and defined. A network was derived from agar-invasion phenotypes of mutant yeast. Mutations showed specific modes of genetic interaction with specific biological processes. 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.</description><identifier>ISSN: 1474-760X</identifier><identifier>ISSN: 1465-6906</identifier><identifier>EISSN: 1474-760X</identifier><identifier>EISSN: 1465-6914</identifier><identifier>DOI: 10.1186/gb-2005-6-4-r38</identifier><identifier>PMID: 15833125</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Genes, Fungal - genetics ; Genetics ; Genotype ; Method ; Mutation - genetics ; Phenotype ; Saccharomyces cerevisiae - genetics ; Saccharomyces cerevisiae - metabolism</subject><ispartof>Genome biology, 2005-01, Vol.6 (4), p.R38-R38, Article R38</ispartof><rights>Copyright © 2005 Drees et al.; licensee BioMed Central Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b557t-b7da85b595c748c5e7e942eda599c5d96353d0d309b48468012d4da195cea0b63</citedby><cites>FETCH-LOGICAL-b557t-b7da85b595c748c5e7e942eda599c5d96353d0d309b48468012d4da195cea0b63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC1088966/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC1088966/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/15833125$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Drees, Becky L</creatorcontrib><creatorcontrib>Thorsson, Vesteinn</creatorcontrib><creatorcontrib>Carter, Gregory W</creatorcontrib><creatorcontrib>Rives, Alexander W</creatorcontrib><creatorcontrib>Raymond, Marisa Z</creatorcontrib><creatorcontrib>Avila-Campillo, Iliana</creatorcontrib><creatorcontrib>Shannon, Paul</creatorcontrib><creatorcontrib>Galitski, Timothy</creatorcontrib><title>Derivation of genetic interaction networks from quantitative phenotype data</title><title>Genome biology</title><addtitle>Genome Biol</addtitle><description>We have generalized the derivation of genetic-interaction networks from quantitative phenotype data. Familiar and unfamiliar modes of genetic interaction were identified and defined. A network was derived from agar-invasion phenotypes of mutant yeast. Mutations showed specific modes of genetic interaction with specific biological processes. 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.</description><subject>Genes, Fungal - genetics</subject><subject>Genetics</subject><subject>Genotype</subject><subject>Method</subject><subject>Mutation - genetics</subject><subject>Phenotype</subject><subject>Saccharomyces cerevisiae - genetics</subject><subject>Saccharomyces cerevisiae - metabolism</subject><issn>1474-760X</issn><issn>1465-6906</issn><issn>1474-760X</issn><issn>1465-6914</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><recordid>eNp1kUtLAzEQx4Movs_eZE_eVpPmsdmLoPWJghcFbyGPaY12NzVJK_32bm3RCnqaYeY_v3khdEDwMSFSnAxN2cOYl6JkZaRyDW0TVrGyEvh5fcXfQjspvWJMatYTm2iLcEkp6fFtdHcB0U919qEtwqAYQgvZ28K3GaK2X-Eu8hHiWyoGMTTF-0S32eeuYgrF-AXakGdjKJzOeg9tDPQowf7S7qKnq8vH_k15_3B92z-7Lw3nVS5N5bTkhtfcVkxaDhV0Y4HTvK4td7WgnDrsKK4Nk0xITHqOOU06PWhsBN1FpwvueGIacBbaHPVIjaNvdJypoL36nWn9ixqGqSJYylrMAecLgPHhH8DvjA2NGho1P7USiqnu1B3kaDlFDO8TSFk1PlkYjXQLYZKUqCrGeU074clCaGNIKcLguxHBav7FP9CHqwv-6Jdvo59YLJ0g</recordid><startdate>20050101</startdate><enddate>20050101</enddate><creator>Drees, Becky L</creator><creator>Thorsson, Vesteinn</creator><creator>Carter, Gregory W</creator><creator>Rives, Alexander W</creator><creator>Raymond, Marisa Z</creator><creator>Avila-Campillo, Iliana</creator><creator>Shannon, Paul</creator><creator>Galitski, Timothy</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20050101</creationdate><title>Derivation of genetic interaction networks from quantitative phenotype data</title><author>Drees, Becky L ; Thorsson, Vesteinn ; Carter, Gregory W ; Rives, Alexander W ; Raymond, Marisa Z ; Avila-Campillo, Iliana ; Shannon, Paul ; Galitski, Timothy</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b557t-b7da85b595c748c5e7e942eda599c5d96353d0d309b48468012d4da195cea0b63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Genes, Fungal - genetics</topic><topic>Genetics</topic><topic>Genotype</topic><topic>Method</topic><topic>Mutation - genetics</topic><topic>Phenotype</topic><topic>Saccharomyces cerevisiae - genetics</topic><topic>Saccharomyces cerevisiae - metabolism</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Drees, Becky L</creatorcontrib><creatorcontrib>Thorsson, Vesteinn</creatorcontrib><creatorcontrib>Carter, Gregory W</creatorcontrib><creatorcontrib>Rives, Alexander W</creatorcontrib><creatorcontrib>Raymond, Marisa Z</creatorcontrib><creatorcontrib>Avila-Campillo, Iliana</creatorcontrib><creatorcontrib>Shannon, Paul</creatorcontrib><creatorcontrib>Galitski, Timothy</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Genome biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Drees, Becky L</au><au>Thorsson, Vesteinn</au><au>Carter, Gregory W</au><au>Rives, Alexander W</au><au>Raymond, Marisa Z</au><au>Avila-Campillo, Iliana</au><au>Shannon, Paul</au><au>Galitski, Timothy</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Derivation of genetic interaction networks from quantitative phenotype data</atitle><jtitle>Genome biology</jtitle><addtitle>Genome Biol</addtitle><date>2005-01-01</date><risdate>2005</risdate><volume>6</volume><issue>4</issue><spage>R38</spage><epage>R38</epage><pages>R38-R38</pages><artnum>R38</artnum><issn>1474-760X</issn><issn>1465-6906</issn><eissn>1474-760X</eissn><eissn>1465-6914</eissn><abstract>We have generalized the derivation of genetic-interaction networks from quantitative phenotype data. Familiar and unfamiliar modes of genetic interaction were identified and defined. A network was derived from agar-invasion phenotypes of mutant yeast. Mutations showed specific modes of genetic interaction with specific biological processes. 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.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>15833125</pmid><doi>10.1186/gb-2005-6-4-r38</doi><oa>free_for_read</oa></addata></record> |
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subjects | Genes, Fungal - genetics Genetics Genotype Method Mutation - genetics Phenotype Saccharomyces cerevisiae - genetics Saccharomyces cerevisiae - metabolism |
title | Derivation of genetic interaction networks from quantitative phenotype data |
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