TY - JOUR
T1 - Next-generation genomics
T2 - An integrative approach
AU - Hawkins, R. David
AU - Hon, Gary C.
AU - Ren, Bing
N1 - Funding Information:
We apologize to those authors whose work we were unable to reference owing to limitations of space. R.D.H is supported by a postdoctoral fellowship from the American Cancer Society. We acknowledge generous funding from the Ludwig Institute for Cancer Research, the US National Institutes of Health, the California Institute of Regenerative Medicine and the Juvenile Diabetes Research Foundation. We thank the anonymous reviewers for their valuable comments on earlier versions of this Review.
PY - 2010/6
Y1 - 2010/6
N2 - Integrating results from diverse experiments is an essential process in our effort to understand the logic of complex systems, such as development, homeostasis and responses to the environment. With the advent of high-throughput methods-including genome-wide association (GWA) studies, chromatin immunoprecipitation followed by sequencing (ChIP-seq) and RNA sequencing (RNA-seq)-acquisition of genome-scale data has never been easier. Epigenomics, transcriptomics, proteomics and genomics each provide an insightful, and yet one-dimensional, view of genome function; integrative analysis promises a unified, global view. However, the large amount of information and diverse technology platforms pose multiple challenges for data access and processing. This Review discusses emerging issues and strategies related to data integration in the era of next-generation genomics.
AB - Integrating results from diverse experiments is an essential process in our effort to understand the logic of complex systems, such as development, homeostasis and responses to the environment. With the advent of high-throughput methods-including genome-wide association (GWA) studies, chromatin immunoprecipitation followed by sequencing (ChIP-seq) and RNA sequencing (RNA-seq)-acquisition of genome-scale data has never been easier. Epigenomics, transcriptomics, proteomics and genomics each provide an insightful, and yet one-dimensional, view of genome function; integrative analysis promises a unified, global view. However, the large amount of information and diverse technology platforms pose multiple challenges for data access and processing. This Review discusses emerging issues and strategies related to data integration in the era of next-generation genomics.
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U2 - 10.1038/nrg2795
DO - 10.1038/nrg2795
M3 - Review article
C2 - 20531367
AN - SCOPUS:77953808473
SN - 1471-0056
VL - 11
SP - 476
EP - 486
JO - Nature Reviews Genetics
JF - Nature Reviews Genetics
IS - 7
ER -