Abstract

Doc number: I1

Abstract: To integrate heterogeneous and large omics data constitutes not only a conceptual challenge but a practical hurdle in the daily analysis of omics data. With the rise of novel omics technologies and through large-scale consortia projects, biological systems are being further investigated at an unprecedented scale generating heterogeneous and often large data sets. These data-sets encourage researchers to develop novel data integration methodologies. In this introduction we review the definition and characterize current efforts on data integration in the life sciences. We have used a web-survey to assess current research projects on data-integration to tap into the views, needs and challenges as currently perceived by parts of the research community.

Details

Title
Data integration in the era of omics: current and future challenges
Author
Gomez-Cabrero, David; Abugessaisa, Imad; Maier, Dieter; Teschendorff, Andrew; Merkenschlager, Matthias; Gisel, Andreas; Ballestar, Esteban; Bongcam-Rudloff, Erik; Conesa, Ana; Tegnér, Jesper
Pages
I1
Publication year
2014
Publication date
2014
Publisher
BioMed Central
e-ISSN
1752-0509
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1186/1752-0509-8-S2-I1
ProQuest document ID
1512731708
Copyright
© 2014 Gomez-Cabrero et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.