G2G：一个用于预测人类合成致死相互作用的网络服务器。
G2G: A web-server for the prediction of human synthetic lethal interactions.
作者信息
Almozlino Yom Tov, Peretz Iftah, Kupiec Martin, Sharan Roded
机构信息
School of Computer Science, Tel Aviv University, Tel Aviv 69978, Israel.
School of Molecular Cell Biology and Biotechnology, Tel Aviv University, Tel Aviv 69978, Israel.
出版信息
Comput Struct Biotechnol J. 2020 Apr 27;18:1028-1031. doi: 10.1016/j.csbj.2020.04.012. eCollection 2020.
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/.
基因相互作用（GIs）对于我们理解细胞中的生物过程至关重要。虽然基因相互作用已在酵母中进行了系统映射，但在人类中关于它们的信息却很少。最近，我们提出了一种利用基因本体信息预测酵母中基因相互作用的先进分层方法。在此，我们对该方法进行调整并首次将其应用于预测人类中的基因相互作用。我们为此任务引入了一个名为G2G的网络服务，可在http://bnet.cs.tau.ac.il/g2g/获取。
Zotero 插件