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

Yom Tov Almozlino; Iftah Peretz; Martin Kupiec; Roded Sharan

doi:https://doi.org/10.1016/j.csbj.2020.04.012

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

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

Tel Aviv University

Research output: Contribution to journal › Article › peer-review

Abstract

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 language	English
Pages (from-to)	1028-1031
Number of pages	4
Journal	Computational and Structural Biotechnology Journal
Volume	18
DOIs	https://doi.org/10.1016/j.csbj.2020.04.012
State	Published - 2020

All Science Journal Classification (ASJC) codes

Biotechnology
Biophysics
Structural Biology
Biochemistry
Genetics
Computer Science Applications

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https://doi.org/10.1016/j.csbj.2020.04.012

Cite this

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title = "G2G: A web-server for the prediction of human synthetic lethal interactions",

abstract = "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/.",

author = "Almozlino, {Yom Tov} and Iftah Peretz and Martin Kupiec and Roded Sharan",

note = "Publisher Copyright: {\textcopyright} 2020",

year = "2020",

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AU - Almozlino, Yom Tov

AU - Peretz, Iftah

AU - Kupiec, Martin

AU - Sharan, Roded

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/.

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DO - https://doi.org/10.1016/j.csbj.2020.04.012

M3 - مقالة

C2 - 32419903

SN - 2001-0370

VL - 18

SP - 1028

EP - 1031

JO - Computational and Structural Biotechnology Journal

JF - Computational and Structural Biotechnology Journal

ER -

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

Abstract

All Science Journal Classification (ASJC) codes

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