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...

Descripción completa

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
Descripción
Sumario: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.

Ejemplares similares