| Literature DB >> 33979321 |
Amir Bahmani1,2,3, Kyle Ferriter2,3, Vandhana Krishnan2,3, Arash Alavi2,3, Amir Alavi2,3, Philip S Tsao4,5, Michael P Snyder1,2,3, Cuiping Pan5.
Abstract
Genomic data analysis across multiple cloud platforms is an ongoing challenge, especially when large amounts of data are involved. Here, we present Swarm, a framework for federated computation that promotes minimal data motion and facilitates crosstalk between genomic datasets stored on various cloud platforms. We demonstrate its utility via common inquiries of genomic variants across BigQuery in the Google Cloud Platform (GCP), Athena in the Amazon Web Services (AWS), Apache Presto and MySQL. Compared to single-cloud platforms, the Swarm framework significantly reduced computational costs, run-time delays and risks of security breach and privacy violation.Entities:
Year: 2021 PMID: 33979321 PMCID: PMC8143397 DOI: 10.1371/journal.pcbi.1008977
Source DB: PubMed Journal: PLoS Comput Biol ISSN: 1553-734X Impact factor: 4.475