Data integration in the era of omics: current and future challenges

by D. Gomez-Cabrero, I. Abugessaisa, D. Maier, A. Teschendorff, M. Merkenschlager, A. Gisel, E. Ballestar, E. Bongcam-Rudloff, A. Conesa, J. Tegnér
Year:2014

Bibliography

Data integration in the era of omics: current and future challenges
D. Gomez-Cabrero, I. Abugessaisa, D. Maier, A. Teschendorff, M. Merkenschlager, A. Gisel, E. Ballestar, E. Bongcam-Rudloff, A. Conesa and J. Tegnér
BMC Systems Biology, Vol. 8 (Supp 2):I1), 2014

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.

DOI: 10.1186/1752-0509-8-S2-I1

Data integration in the era of omics.pdf

Keywords

Biological Science Computational Biology Data Collection Data integration
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