Genome research in the cloud.
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.
Department of Bioscience and Biotechnology, Banasthali University, Banasthali, Rajasthan, India. ashomics@gmail.com
Asheesh
A
Shanker
D001483:Base Sequence; D015894:Genome, Human; D023281:Genomics; D059014:High-Throughput Nucleotide Sequencing; D006801:Humans; D016247:Information Storage and Retrieval / Q000191:economics / Q000639:trends; D009862:Online Systems; D012984:Software