alexa Big Next Generation Sequencing Data
ISSN: 2329-8936

Transcriptomics: Open Access
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Commentary

Big Next Generation Sequencing Data

Jagajjit Sahu1 and Anupam Das Talukdar2*
1Distributed Information Centre, Department of Agricultural Biotechnology, Assam Agricultural University, Jorhat, India
2Department of Life Science and Bioinformatics, Assam University, Assam, India
Corresponding Author : Anupam Das Talukdar
Department of Life Science and Bioinformatics
Assam University, Silchar-11
Assam, India
Tel: +91-9401416452
E-mail: [email protected]
Received September 25, 2015; Accepted November 21, 2015; Published November 24, 2015
Citation: Sahu J, Talukdar AD (2015) Big Next Generation Sequencing Data. Transcriptomics 3:121. doi:10.4172/2329-8936.1000121
Copyright: © 2015 Sahu J, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Abstract

Science has kept changing its form from observational to experimental to data-driven in the field of life science. With the advancement of Next Generation Sequencing (NGS) technology, new findings are coming up with a great amount of responsibilities whereas storing and analysing these data is concern Li , Stephens et al. During last decade, the cost of sequencing has reduced heavily by allowing access to more scientists. A simple search in PUBMED can provide the scenario of exponential growth of the number of reports published using NGS technology. However, the deposition of raw data in the public domain is increasing dramatically outstripping the proper annotation of these data which is still half-cooked or ambiguous.

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