Role of Bioinformatics in Analysing Big Data Using Statistical Computing and Computer Science

Role of Bioinformatics in Analysing Big Data Using Statistical Computing and Computer Science

Kuldeep Singh Raina1, Dr.Mushtaq Ahmad Sofi2, Nazir Ahmad Dar 3, Dr.Owais Zargar

Population Based Cancer Registry
Department of Radiation Oncology

Sher-i Kashmir Institute of Medical Sciences –Skims Srinagar

(kuldeepsingh.raina77@gmail.com)

This article discusses the links between computer science, statistics and biology education. Bioinformatics study is considered from two aspects – as one for biologists learning Information Technologies (IT) to use within their speciality, or for IT specialists learning biology so they can apply their skills to biological problems. The different computer science technologies and statistical methods in bioinformatics are considered. Currently, the concept of  Big Data has become common, under big data, we understand information of a huge volume and of a diverse composition, which is often updated and located in different sources, as well as special technologies for storage, transfer, processing and analysis of this information. The multidisciplinary approach facilitates the understanding of interrelations between computer science technologies, statistical methods and bioinformatics. Bioinformatics covers a wide range of biology topics, such as genetics, evolution, biochemistry, biophysics, and cell biology. Computational biology leverages quantitative tools such as machine learning, statistical physics, and algorithm design and frequency statistics.