Big Data Analytics and Its Prospects in Computational Proteomics

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 340)

Abstract

The volume and variety of data in biology is increasing at an exponential velocity. Every week new proteins are getting sequenced and novel structures are being discovered. With the advent of hitherto unknown diseases, it has become imperative that vaccines and drugs be designed as fast as possible. This is causing an immense surge of information which is becoming increasing difficult to process due to limited computational resources. Thus the need of the hour is to harness technologies, like Big Data, which will help distribute computations over a group of nodes and hasten the process of data analysis. In this paper we have explored some techniques to dispense the job of data analysis to several computers which could work in parallel and reach a solution faster.

Keywords

Big data Computational proteomics Hadoop MapReduce Parallel implementation 

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Copyright information

© Springer India 2015

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringJadavpur UniversityKolkataIndia

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