TY - JOUR
T1 - G2G
T2 - A web-server for the prediction of human synthetic lethal interactions
AU - Almozlino, Yom Tov
AU - Peretz, Iftah
AU - Kupiec, Martin
AU - Sharan, Roded
N1 - Publisher Copyright:
© 2020
PY - 2020
Y1 - 2020
N2 - 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/.
AB - 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/.
UR - http://www.scopus.com/inward/record.url?scp=85084918949&partnerID=8YFLogxK
U2 - 10.1016/j.csbj.2020.04.012
DO - 10.1016/j.csbj.2020.04.012
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C2 - 32419903
AN - SCOPUS:85084918949
SN - 2001-0370
VL - 18
SP - 1028
EP - 1031
JO - Computational and Structural Biotechnology Journal
JF - Computational and Structural Biotechnology Journal
ER -