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

被引：229

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

共 75 条

[1] Challenges and Opportunities in Mining Neuroscience Data
Akil, Huda
Martone, Maryann E.
Van Essen, David C.
[J]. SCIENCE, 2011, 331 (6018) : 708 - 712
[2] Generalized singular value decomposition for comparative analysis of genome-scale expression data sets of two different organisms
Alter, O
Brown, PO
Botstein, D
[J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2003, 100 (06) : 3351 - 3356
[3] A map of human genome variation from population-scale sequencing
Altshuler, David
Durbin, Richard M.
Abecasis, Goncalo R.
Bentley, David R.
Chakravarti, Aravinda
Clark, Andrew G.
Collins, Francis S.
De la Vega, Francisco M.
Donnelly, Peter
Egholm, Michael
Flicek, Paul
Gabriel, Stacey B.
Gibbs, Richard A.
Knoppers, Bartha M.
Lander, Eric S.
Lehrach, Hans
Mardis, Elaine R.
McVean, Gil A.
Nickerson, DebbieA.
Peltonen, Leena
Schafer, Alan J.
Sherry, Stephen T.
Wang, Jun
Wilson, Richard K.
Gibbs, Richard A.
Deiros, David
Metzker, Mike
Muzny, Donna
Reid, Jeff
Wheeler, David
Wang, Jun
Li, Jingxiang
Jian, Min
Li, Guoqing
Li, Ruiqiang
Liang, Huiqing
Tian, Geng
Wang, Bo
Wang, Jian
Wang, Wei
Yang, Huanming
Zhang, Xiuqing
Zheng, Huisong
Lander, Eric S.
Altshuler, David L.
Ambrogio, Lauren
Bloom, Toby
Cibulskis, Kristian
Fennell, Tim J.
Gabriel, Stacey B.
[J]. NATURE, 2010, 467 (7319) : 1061 - 1073
[4] [Anonymous], INT J PUBLIC INFORM
[5] [Anonymous], STEPS LARGE SCALE DA
[6] [Anonymous], DIVISIVE SHUFFLING A
[7] [Anonymous], 2012, Nature
[8] [Anonymous], 3 DECADES DAT INTEGR
[9] [Anonymous], THESIS LUDWIG MAXIMI
[10] [Anonymous], WORKSH GEN DAT INT

← 1 2 3 4 5 6 7 8 →