A Probabilistic Functional Network of Yeast Genes

Autor:	Edward M. Marcotte, Insuk Lee, Shailesh V. Date, Alex T. Adai
Rok vydání:	2004
Předmět:	Saccharomyces cerevisiae Proteins DNA Repair Genes Fungal Saccharomyces cerevisiae Gene regulatory network Ribosome biogenesis Genomics Computational biology DEAD-box RNA Helicases Protein Interaction Mapping Gene Phylogeny Oligonucleotide Array Sequence Analysis Probability Genetics Likelihood Functions Multidisciplinary biology Probabilistic logic Computational Biology Bayesian network Bayes Theorem biology.organism_classification Chromatin Multigene Family Ribosomes Functional genomics RNA Helicases DNA Damage
Zdroj:	Science. 306:1555-1558
ISSN:	1095-9203 0036-8075
DOI:	10.1126/science.1099511
Popis:	A conceptual framework for integrating diverse functional genomics data was developed by reinterpreting experiments to provide numerical likelihoods that genes are functionally linked. This allows direct comparison and integration of different classes of data. The resulting probabilistic gene network estimates the functional coupling between genes. Within this framework, we reconstructed an extensive, high-quality functional gene network for Saccharomyces cerevisiae , consisting of 4681 (∼81%) of the known yeast genes linked by ∼34,000 probabilistic linkages comparable in accuracy to small-scale interaction assays. The integrated linkages distinguish true from false-positive interactions in earlier data sets; new interactions emerge from genes' network contexts, as shown for genes in chromatin modification and ribosome biogenesis.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55e8bc733c288c3f8d67619bc1890ed2 https://doi.org/10.1126/science.1099511 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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