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

Academic Article
Publication Date:
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.
Iris type:
01.01 Articolo in rivista
List of contributors:
Gisel, Andreas
Authors of the University:
GISEL ANDREAS
Handle:
https://iris.cnr.it/handle/20.500.14243/269456
Published in:
BMC SYSTEMS BIOLOGY
Journal
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