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

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.

Published in

BMC Systems Biology
2014, volume: 8, number: Suppl 2, article number: I1

SLU Authors

• Bongcam Rudloff, Erik

  • Department of Animal Biosciences, Swedish University of Agricultural Sciences
    

UKÄ Subject classification

Bioinformatics and Systems Biology
Genetics and Breeding

Publication identifier

• DOI: https://doi.org/10.1186/1752-0509-8-S2-I1

Permanent link to this page (URI)

https://res.slu.se/id/publ/52323