Cloud Computing and Biological Data

Authors: Dubey A*

DOI: 10.23880/oajpr-16000201

Volume 4, Issue 2

Abstract

The diversity of data leads to volume, velocity, variety, variability and value, the “V”s of big data worldwide known. And these are the challenges for biomedical and data scientists to bring proper information out of them. Day by day a protein is isolated and biological databases are enhanced. The biological databases like Genbank, PDB etc are growing in a fast way. Not only protein, DNA, RNA database are enriched but also disease databases like eBioportal for cancer genomics [1] is widely used resource that integrates and visualizes cancer genomic data, including mutations, copy number variation, gene expression and clinical trial information. These are the first generation databases having complete information of particular nucleic acids, gene, and disease. Now as researches in bioinformatics are speeds up, our understanding of life and diseases are also achieving heights. With this we have second generation system cloud computing with biomedical data which enables researches of the world to compute over the data. BLAST Basic local Alignment search tool of NCBI is its very good example.

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