Gomez Cabrero, DavidAbugessaisa, ImadMaier, DieterTeschendorff, AndrewMerkenschlager, MatthiasGisel, AndreasBallestar Tarín, EstebanBongcam-Rudloff, ErikConesa, AnaTegnér, Jesper2018-11-222018-11-222014-03-13https://hdl.handle.net/2445/126351To 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.10 p.application/pdfengcc by (c) Gomez Cabrero et al., 2014http://creativecommons.org/licenses/by/3.0/es/HematologiaHematologyData integration in the era of omics: current and future challengesinfo:eu-repo/semantics/article2018-07-24info:eu-repo/semantics/openAccess25032990