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Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/126351
Data integration in the era of omics: current and future challenges
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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.
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GOMEZ CABRERO, David, et al. Data integration in the era of omics: current and future challenges. BMC Systems Biology. 2014. Vol. 8, num. 2), pags. I1. [consulted: 6 of October of 2026]. Available at: https://hdl.handle.net/2445/126351