Today we can generate hundreds of gigabases of DNA and RNA sequencing data in a week
for less than US $5,000. The astonishing rate of data generation by these low-cost, high …

We welcome the timely Review by Schadt et al.(Computational solutions to large-scale data
management and analysis. Nature Rev. Genet. 11, 647–657 (2010)) 1, which presents cloud …

High-throughput experiments enable researchers to explore complex multifactorial diseases
through large-scale analysis of omics data. Challenges for such high-dimensional data sets …

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 …

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 …

Figure 1| Applying a MapReduce approach in the cloud to solve embarrassingly
parallelizable problems. To traverse a 1 petabyte (PB) data set, Trelles et al. mistakenly …

Background As large genomics and phenotypic datasets are becoming more common, it is
increasingly difficult for most researchers to access, manage, and analyze them. One …

Cloud computing and the DNA data race | Nature Biotechnology Skip to main content Thank
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Data in the genomics field is booming. In just a few years, organizations such as the
National Institutes of Health (NIH) will host 50+ petabytes—or over 50 million gigabytes—of …

Data analysis: Create a cloud commons | Nature Skip to main content Thank you for visiting
nature.com. You are using a browser version with limited support for CSS. To obtain the best …