A Large-Scale and Serverless Computational Approach for Improving Quality of NGS Data Supporting Big Multi-Omics Data Analyses

A Large-Scale and Serverless Computational Approach for Improving Quality of NGS Data Supporting Big Multi-Omics Data Analyses

Various types of analyses performed over multi-omics data are driven today by next-generation sequencing (NGS) techniques that produce large volumes of DNA/RNA sequences. Although many tools allow for parallel processing of NGS data in a Big Data distributed environment, they do not facilitate the i...

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Bibliographic Details
Main Authors: Dariusz Mrozek, Krzysztof Stępień, Piotr Grzesik, Bożena Małysiak-Mrozek
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Genetics
Subjects:
next-generation sequencing
data quality
cloud computing
big data
data lake
OMICS data
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2021.699280/full

Internet

https://www.frontiersin.org/articles/10.3389/fgene.2021.699280/full

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