<p>Multi-omics data integration for the discovery of COVID-19 drug targets</p>

Tyrone Chen; Kim-Anh Lê Cao; Sonika Tyagi

doi:10.7490/f1000research.1118023.1

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Chen T, Lê Cao KA and Tyagi S. Multi-omics data integration for the discovery of COVID-19 drug targets [version 1; not peer reviewed]. F1000Research 2020, 9(ISCB Comm J):698 (poster) (https://doi.org/10.7490/f1000research.1118023.1)

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Multi-omics data integration for the discovery of COVID-19 drug targets

Tyrone Chen, Kim-Anh Lê Cao, Sonika Tyagi¹

Published 13 Jul 2020 (https://doi.org/10.7490/f1000research.1118023.1)

Author Affiliations

¹ School of Biological Sciences, Monash University, Australia, Australia

Copyright © 2020 Chen T et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 13 Jul 2020

Multi-omics data integration for the discovery of COVID-19 drug targets
[version 1; not peer reviewed]

Tyrone Chen, Kim-Anh Lê Cao, Sonika Tyagi¹

Author Affiliations

¹ School of Biological Sciences, Monash University, Australia, Australia

Presented at

28th International Conference on Intelligent Systems for Molecular Biology (ISMB) 2020

Bioinformatics Open Source Conference (BOSC 2020)

Abstract

Competing Interests

No competing interests were disclosed

Keywords

SARS-Cov-2, COVID-19, Data integration, multi-omics, proteomics, translatomics, machine learning

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