Towards accurate imputation of quantitative genetic interactions

Recent technological breakthroughs have enabled high-throughput quantitative measurements of hundreds of thousands of genetic interactions among hundreds of genes in Saccharomyces cerevisiae. However, these assays often fail to measure the genetic interactions among up to 40% of the studied gene pai...

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Detalles Bibliográficos
Autores principales: Ulitsky, Igor, Krogan, Nevan J, Shamir, Ron
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2812947/
https://www.ncbi.nlm.nih.gov/pubmed/20003301
http://dx.doi.org/10.1186/gb-2009-10-12-r140
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author Ulitsky, Igor
Krogan, Nevan J
Shamir, Ron
author_facet Ulitsky, Igor
Krogan, Nevan J
Shamir, Ron
author_sort Ulitsky, Igor
collection PubMed
description Recent technological breakthroughs have enabled high-throughput quantitative measurements of hundreds of thousands of genetic interactions among hundreds of genes in Saccharomyces cerevisiae. However, these assays often fail to measure the genetic interactions among up to 40% of the studied gene pairs. Here we present a novel method, which combines genetic interaction data together with diverse genomic data, to quantitatively impute these missing interactions. We also present data on almost 190,000 novel interactions.
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spelling pubmed-28129472010-01-29 Towards accurate imputation of quantitative genetic interactions Ulitsky, Igor Krogan, Nevan J Shamir, Ron Genome Biol Method Recent technological breakthroughs have enabled high-throughput quantitative measurements of hundreds of thousands of genetic interactions among hundreds of genes in Saccharomyces cerevisiae. However, these assays often fail to measure the genetic interactions among up to 40% of the studied gene pairs. Here we present a novel method, which combines genetic interaction data together with diverse genomic data, to quantitatively impute these missing interactions. We also present data on almost 190,000 novel interactions. BioMed Central 2009 2009-12-10 /pmc/articles/PMC2812947/ /pubmed/20003301 http://dx.doi.org/10.1186/gb-2009-10-12-r140 Text en Copyright ©2009 Ulitsky et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
spellingShingle Method
Ulitsky, Igor
Krogan, Nevan J
Shamir, Ron
Towards accurate imputation of quantitative genetic interactions
title Towards accurate imputation of quantitative genetic interactions
title_full Towards accurate imputation of quantitative genetic interactions
title_fullStr Towards accurate imputation of quantitative genetic interactions
title_full_unstemmed Towards accurate imputation of quantitative genetic interactions
title_short Towards accurate imputation of quantitative genetic interactions
title_sort towards accurate imputation of quantitative genetic interactions
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2812947/
https://www.ncbi.nlm.nih.gov/pubmed/20003301
http://dx.doi.org/10.1186/gb-2009-10-12-r140
work_keys_str_mv AT ulitskyigor towardsaccurateimputationofquantitativegeneticinteractions
AT krogannevanj towardsaccurateimputationofquantitativegeneticinteractions
AT shamirron towardsaccurateimputationofquantitativegeneticinteractions

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