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integrative genomics
Sunday 4 February 2007
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 studies (GWAS), 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.
See also
data integration
data management
next-generation genomics
Review
Next-generation genomics: an integrative approach. Hawkins RD, Hon GC, Ren B. Nat Rev Genet. 2010 Jun 8;11(7):476-486. PMID: 20531367
References
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Integrating chromosomal aberrations and gene expression profiles to dissect rectal tumorigenesis. Lips EH, van Eijk R, de Graaf EJ, Oosting J, de Miranda NF, Karsten T, van de Velde CJ, Eilers PH, Tollenaar RA, van Wezel T, Morreau H. BMC Cancer. 2008 Oct 29;8:314. PMID: 18959792 [Free]
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