Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Gomez-Cabrero, David, Abugessaisa, Imad, Maier, Dieter, Teschendorff, Andrew, Merkenschlager, Matthias, Gisel, Andreas, Ballestar, Esteban, Bongcam-Rudloff, Erik, Conesa, Ana, Tegnér, Jesper
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4101704/
https://www.ncbi.nlm.nih.gov/pubmed/25032990
http://dx.doi.org/10.1186/1752-0509-8-S2-I1
Descripción
Sumario: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.