‘Big data’, Hadoop and cloud computing in genomics

[Display omitted] •Ever improving next generation sequencing technologies has led to an unprecedented proliferation of sequence data.•Biology is now one of the fastest growing fields of big data science.•Cloud computing and big data technologies can be used to deal with biology’s big data sets.•The...

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Bibliographic Details
Published in:Journal of biomedical informatics Vol. 46; no. 5; pp. 774 - 781
Main Authors: O’Driscoll, Aisling, Daugelaite, Jurate, Sleator, Roy D.
Format: Journal Article
Language:English
Published: United States Elsevier Inc 01.10.2013
Subjects:
Big data
Bioinformatics
Cloud computing
Genomics
Hadoop
Human Genome Project
Humans
Internet
Software
Cloud computing
Big data
Bioinformatics
Genomics
Hadoop
ISSN:1532-0464, 1532-0480, 1532-0480
Online Access:Get full text
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Summary:[Display omitted] •Ever improving next generation sequencing technologies has led to an unprecedented proliferation of sequence data.•Biology is now one of the fastest growing fields of big data science.•Cloud computing and big data technologies can be used to deal with biology’s big data sets.•The Apache Hadoop project, which provides distributed and parallelised data processing are presented.•Challenges associated with cloud computing and big data technologies in biology are discussed. Since the completion of the Human Genome project at the turn of the Century, there has been an unprecedented proliferation of genomic sequence data. A consequence of this is that the medical discoveries of the future will largely depend on our ability to process and analyse large genomic data sets, which continue to expand as the cost of sequencing decreases. Herein, we provide an overview of cloud computing and big data technologies, and discuss how such expertise can be used to deal with biology’s big data sets. In particular, big data technologies such as the Apache Hadoop project, which provides distributed and parallelised data processing and analysis of petabyte (PB) scale data sets will be discussed, together with an overview of the current usage of Hadoop within the bioinformatics community.
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ISSN:1532-0464
1532-0480
1532-0480
DOI:10.1016/j.jbi.2013.07.001