Gene function prediction from synthetic lethality networks via ranking on demand

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چکیده

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Gene function prediction from synthetic lethality networks via ranking on demand

MOTIVATION Synthetic lethal interactions represent pairs of genes whose individual mutations are not lethal, while the double mutation of both genes does incur lethality. Several studies have shown a correlation between functional similarity of genes and their distances in networks based on synthetic lethal interactions. However, there is a lack of algorithms for predicting gene function from s...

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Gene function prediction from congruent synthetic lethal interactions in yeast

We predicted gene function using synthetic lethal genetic interactions between null alleles in Saccharomyces cerevisiae. Phenotypic and protein interaction data indicate that synthetic lethal gene pairs function in parallel or compensating pathways. Congruent gene pairs, defined as sharing synthetic lethal partners, are in single pathway branches. We predicted benomyl sensitivity and nuclear mi...

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Gene function has been a subject of interest but it is far from fully understood. It is known that some genes have certain functions but it is not clear whether those are all the functions they have. It is a recent trend to use different means to predict gene functions; one of them is to use computational methods on large data sets. Different types of information are used in computational metho...

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Comprehensive analysis and prediction of synthetic lethality using subcellular locations.

The lethality of a gene is a fundamental and representative measure for understanding the function of a gene and its associated bio-systems. Recently, many research groups have started focusing on the concept of synthetic lethality. The synthetic lethality between genes is defined by the combination of mutations in two genes causing cell death. Here, we confirm that synthetic lethality and cell...

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ژورنال

عنوان ژورنال: Bioinformatics

سال: 2010

ISSN: 1460-2059,1367-4803

DOI: 10.1093/bioinformatics/btq053