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

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 i...

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Detalles Bibliográficos
Autores principales: Almozlino, Yom Tov, Peretz, Iftah, Kupiec, Martin, Sharan, Roded
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7215103/
https://www.ncbi.nlm.nih.gov/pubmed/32419903
http://dx.doi.org/10.1016/j.csbj.2020.04.012
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author Almozlino, Yom Tov
Peretz, Iftah
Kupiec, Martin
Sharan, Roded
author_facet Almozlino, Yom Tov
Peretz, Iftah
Kupiec, Martin
Sharan, Roded
author_sort Almozlino, Yom Tov
collection PubMed
description 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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spelling pubmed-72151032020-05-15 G2G: A web-server for the prediction of human synthetic lethal interactions Almozlino, Yom Tov Peretz, Iftah Kupiec, Martin Sharan, Roded Comput Struct Biotechnol J Research Article 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/. Research Network of Computational and Structural Biotechnology 2020-04-27 /pmc/articles/PMC7215103/ /pubmed/32419903 http://dx.doi.org/10.1016/j.csbj.2020.04.012 Text en © 2020 Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Almozlino, Yom Tov
Peretz, Iftah
Kupiec, Martin
Sharan, Roded
G2G: A web-server for the prediction of human synthetic lethal interactions
title G2G: A web-server for the prediction of human synthetic lethal interactions
title_full G2G: A web-server for the prediction of human synthetic lethal interactions
title_fullStr G2G: A web-server for the prediction of human synthetic lethal interactions
title_full_unstemmed G2G: A web-server for the prediction of human synthetic lethal interactions
title_short G2G: A web-server for the prediction of human synthetic lethal interactions
title_sort g2g: a web-server for the prediction of human synthetic lethal interactions
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7215103/
https://www.ncbi.nlm.nih.gov/pubmed/32419903
http://dx.doi.org/10.1016/j.csbj.2020.04.012
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AT kupiecmartin g2gawebserverforthepredictionofhumansyntheticlethalinteractions
AT sharanroded g2gawebserverforthepredictionofhumansyntheticlethalinteractions

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