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

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 unprec...

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Bibliographic Details
Published in:BMC Systems Biology 2014, Vol.8 Suppl 2 (Suppl 2), p.I1-I1
Main Authors: Gomez-Cabrero, David, Abugessaisa, Imad, Maier, Dieter, Teschendorff, Andrew, Merkenschlager, Matthias, Gisel, Andreas, Ballestar, Esteban, Bongcam-Rudloff, Erik, Conesa, Ana, Tegnér, Jesper
Format: Article
Language:English
Subjects:
Animals
Bioinformatics and Systems Biology
Bioinformatik och systembiologi
Biological Science Disciplines
Computational Biology - methods
Computational Biology - standards
Data Collection
Genetics and Breeding
Genetik och förädling
Humans
Medicin och hälsovetenskap
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Summary: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.
ISSN:1752-0509
1752-0509
DOI:10.1186/1752-0509-8-s2-i1