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Trends in IT Innovation to Build a Next Generation Bioinformatics Solution to Manage and Analyse Biological Big Data Produced by NGS Technologies

Authors :
de Brevern, Alexandre G.
Meyniel, Jean-Philippe
Fairhead, Cécile
Neuvéglise, Cécile
Malpertuy, Alain
Source :
BioMed Research International.
Publication Year :
2015
Publisher :
Hindawi Publishing Corporation, 2015.

Abstract

Sequencing the human genome began in 1994, and 10 years of work were necessary in order to provide a nearly complete sequence. Nowadays, NGS technologies allow sequencing of a whole human genome in a few days. This deluge of data challenges scientists in many ways, as they are faced with data management issues and analysis and visualization drawbacks due to the limitations of current bioinformatics tools. In this paper, we describe how the NGS Big Data revolution changes the way of managing and analysing data. We present how biologists are confronted with abundance of methods, tools, and data formats. To overcome these problems, focus on Big Data Information Technology innovations from web and business intelligence. We underline the interest of NoSQL databases, which are much more efficient than relational databases. Since Big Data leads to the loss of interactivity with data during analysis due to high processing time, we describe solutions from the Business Intelligence that allow one to regain interactivity whatever the volume of data is. We illustrate this point with a focus on the Amadea platform. Finally, we discuss visualization challenges posed by Big Data and present the latest innovations with JavaScript graphic libraries.

Subjects

Subjects :
Article Subject

Details

Language :
English
ISSN :
23146133
Database :
OpenAIRE
Journal :
BioMed Research International
Accession number :
edsair.hindawi.publ..51c2d4cbb814d46c93b9c969e9eb7c4e
Full Text :
https://doi.org/10.1155/2015/904541