Journal
OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY
Volume 16, Issue 7-8, Pages 422-428Publisher
MARY ANN LIEBERT, INC
DOI: 10.1089/omi.2012.0001
Keywords
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High-throughput genome research has long been associated with bioinformatics, as it assists genome sequencing and annotation projects. Along with databases, to store, properly manage, and retrieve biological data, a large number of computational tools have been developed to decode biological information from this data. However, with the advent of next-generation sequencing (NGS) technology the sequence data starts generating at a pace never before seen. Consequently researchers are facing a threat as they are experiencing a potential shortage of storage space and tools to analyze the data. Moreover, the voluminous data increases traffic in the network by uploading and downloading large data sets, and thus consume much of the network's available bandwidth. All of these obstacles have led to the solution in the form of cloud computing.
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