数据科学
数据集成
组学
比例(比率)
计算机科学
系统生物学
大数据
数据挖掘
生物
生物信息学
地理
地图学
作者
David Gómez-Cabrero,Imad Abugessaisa,Dieter Maier,Andrew Erich Teschendorff,Matthias Merkenschlager,Andreas Gisel,Esteban Ballestar,Erik Bongcam‐Rudloff,Ana Conesa,Jesper N. Tegner
出处
期刊:BMC Systems Biology
[Springer Science+Business Media]
日期:2014-01-01
卷期号:8 (Suppl 2): I1-I1
被引量:413
标识
DOI:10.1186/1752-0509-8-s2-i1
摘要
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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