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G2G: A web-server for the prediction of human synthetic lethal interactions.
Computational and Structural Biotechnology Journal ( IF 6 ) Pub Date : 2020-04-27 , DOI: 10.1016/j.csbj.2020.04.012
Yom Tov Almozlino 1 , Iftah Peretz 2 , Martin Kupiec 2 , Roded Sharan 1
Affiliation  

Genetic interactions (GIs) are fundamental to our understanding of biological processes in the cell. While GIs have been systematically mapped in yeast, there is scarce information about them in humans. Recently, we have suggested a state-of-the-art hierarchical method that leverages gene ontology information for predicting GIs in yeast. Here, we adapt this method and apply it for the first time to predict GIs in human. We introduce a web service called G2G for this task that is available at http://bnet.cs.tau.ac.il/g2g/.



中文翻译:

G2G:用于预测人类合成致命相互作用的网络服务器。

遗传相互作用(GI)是我们了解细胞中生物过程的基础。虽然GI已在酵母中系统地定位,但在人类中却很少有关于它们的信息。最近,我们提出了一种最新的分层方法,该方法利用基因本体信息来预测酵母中的GI。在这里,我们采用这种方法并将其首次应用于预测人类的胃肠道。我们为此任务引入了一个称为G2G的Web服务,该服务可从http://bnet.cs.tau.ac.il/g2g/获得。

更新日期:2020-04-27
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