Format

Send to

Choose Destination
Nat Rev Genet. 2018 Apr;19(4):208-219. doi: 10.1038/nrg.2017.113. Epub 2018 Jan 30.

Cloud computing for genomic data analysis and collaboration.

Author information

1
Department of Computer Science, Center for Computational Biology, Johns Hopkins University, Baltimore, MD, USA.
2
Department of Biomedical Engineering, Department of Surgery, Computational Biology Program, Oregon Health and Science University, Portland, OR, USA.

Abstract

Next-generation sequencing has made major strides in the past decade. Studies based on large sequencing data sets are growing in number, and public archives for raw sequencing data have been doubling in size every 18 months. Leveraging these data requires researchers to use large-scale computational resources. Cloud computing, a model whereby users rent computers and storage from large data centres, is a solution that is gaining traction in genomics research. Here, we describe how cloud computing is used in genomics for research and large-scale collaborations, and argue that its elasticity, reproducibility and privacy features make it ideally suited for the large-scale reanalysis of publicly available archived data, including privacy-protected data.

PMID:
29379135
PMCID:
PMC6452449
DOI:
10.1038/nrg.2017.113
[Indexed for MEDLINE]
Free PMC Article

Supplemental Content

Full text links

Icon for Nature Publishing Group Icon for PubMed Central
Loading ...
Support Center