Open AccessCloud Computing Enabled Big Multi-Omics Data Analytics
Author(s) -
Saraswati Koppad,
B. Annappa,
Georgios V. Gkoutos,
Animesh Acharjee
Publication year - 2021
Publication title -
bioinformatics and biology insights
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.556
H-Index - 23
ISSN - 1177-9322
DOI - 10.1177/11779322211035921
Subject(s) - cloud computing , data science , omics , big data , computer science , analytics , proteomics , data analysis , data mining , bioinformatics , biology , biochemistry , gene , operating system
High-throughput experiments enable researchers to explore complex multifactorial diseases through large-scale analysis of omics data. Challenges for such high-dimensional data sets include storage, analyses, and sharing. Recent innovations in computational technologies and approaches, especially in cloud computing, offer a promising, low-cost, and highly flexible solution in the bioinformatics domain. Cloud computing is rapidly proving increasingly useful in molecular modeling, omics data analytics (eg, RNA sequencing, metabolomics, or proteomics data sets), and for the integration, analysis, and interpretation of phenotypic data. We review the adoption of advanced cloud-based and big data technologies for processing and analyzing omics data and provide insights into state-of-the-art cloud bioinformatics applications.