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

被引：238

作者：

Gomez-Cabrero, David ^{[1
,2
]}

Abugessaisa, Imad ^{[1
,2
]}

Maier, Dieter ^{[3
]}

Teschendorff, Andrew ^{[4
]}

Merkenschlager, Matthias ^{[5
]}

Gisel, Andreas ^{[6
]}

Ballestar, Esteban ^{[7
]}

Bongcam-Rudloff, Erik ^{[8
]}

Conesa, Ana ^{[9
]}

Tegner, Jesper ^{[1
,2
]}

机构：

[1] Karolinska Inst, Dept Med, Ctr Mol Med, Unit Computat Med, Stockholm, Sweden

[2] Karolinska Univ Hosp, Stockholm, Sweden

[3] Biomax Informat AG, Munich, Germany

[4] UCL, UCL Canc Inst, Ctr Math & Phys Life Sci & Expt Biol, London WC1E 6BT, England

[5] Univ London Imperial Coll Sci Technol & Med, Lymphocyte Dev Grp, MRC Clin Sci Ctr, London W12 0NN, England

[6] Ist Tecnol Biomed CNR, Unita Org, I-70126 Bari, Italy

[7] Bellvitge Biomed Res Inst IDIBELL, Canc Epigenet & Biol Program PEBC, Chromatin & Dis Grp, Barcelona, Spain

[8] Swedish Univ Agr Sci, SLU Global Bioinformat Ctr, Dept Anim Breeding & Genet, Uppsala, Sweden

[9] Ctr Invest Principe Felipe, Computat Genom Program, Valencia, Spain

来源：

BMC SYSTEMS BIOLOGY | 2014年 / 8卷

关键词：

GENE-EXPRESSION; DATA SETS; METAANALYSIS; KNOWLEDGE; GENOMICS; NETWORK; DISCOVERY; NATION; GROWTH;

D O I：

10.1186/1752-0509-8-S2-I1

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

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.

引用

页数：10

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