title: Trends in IT Innovation to Build a Next Generation Bioinformatics Solution to Manage and Analyse Biological Big Data Produced by NGS Technologies.
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.
authors.affiliation: INSERM, U 1134, DSIMB, 75739 Paris, France ; University Paris Diderot, Sorbonne Paris Cité, UMR-S 1134, 75739 Paris, France ; Institut National de la Transfusion Sanguine (INTS), 75739 Paris, France ; Laboratoire d'Excellence GR-Ex, 75739 Paris, France.
authors.forename: Alexandre G
authors.initials: AG
authors.lastname: de Brevern
authors.affiliation: Isoft, Les Algorithmes, Bâtiment Euclide, Route de l'Orme, 91190 Saint-Aubin, France.
authors.forename: Jean-Philippe
authors.initials: JP
authors.lastname: Meyniel
authors.affiliation: Institut de Génétique et Microbiologie, UMR 8621 CNRS-Université Paris Sud, Bât 400, UFR des Sciences, 91405 Orsay Cedex, France.
authors.forename: Cécile
authors.initials: C
authors.lastname: Fairhead
authors.affiliation: INRA, UMR 1319 Micalis, 78352 Jouy-en-Josas, France ; AgroParisTech, UMR Micalis, 78352 Jouy-en-Josas, France.
authors.forename: Cécile
authors.initials: C
authors.lastname: Neuvéglise
authors.affiliation: ATRAGENE, 33-35 rue Ledru-Rollin, 94200 Ivry-sur-Seine, France.
authors.forename: Alain
authors.initials: A
authors.lastname: Malpertuy
mesh_terms: D019295:Computational Biology / Q000639:trends*; D016208:Databases, Factual / Q000639:trends; D023281:Genomics / Q000639:trends; D059014:High-Throughput Nucleotide Sequencing / Q000639:trends*; D006801:Humans; D012984:Software