G2G: A web-server for the prediction of human synthetic lethal interactions

Yom Tov Almozlino, Iftah Peretz, Martin Kupiec, Roded Sharan*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


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/.

Original languageEnglish
Pages (from-to)1028-1031
Number of pages4
JournalComputational and Structural Biotechnology Journal
StatePublished - 2020


FundersFunder number
Israel Science Foundation715/18


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