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Serverless computing in omics data analysis and integration
2021
Briefings in Bioinformatics
A comprehensive analysis of omics data can require vast computational resources and access to varied data sources that must be integrated into complex, multi-step analysis pipelines. Execution of many such analyses can be accelerated by applying the cloud computing paradigm, which provides scalable resources for storing data of different types and parallelizing data analysis computations. Moreover, these resources can be reused for different multi-omics analysis scenarios. Traditionally,
doi:10.1093/bib/bbab349
pmid:34505137
pmcid:PMC8499876
fatcat:lqlrhoycnbg3xdygxpfejn6xvu