@article{Vucic01022012,
author = {Vucic, Emily A. and Thu, Kelsie L. and Robison, Keith and Rybaczyk, Leszek A. and Chari, Raj and Alvarez, Carlos E. and Lam, Wan L.}, 
title = {Translating cancer ‘omics’ to improved outcomes},
volume = {22}, 
number = {2}, 
pages = {188-195}, 
year = {2012}, 
doi = {10.1101/gr.124354.111}, 
abstract ={The genomics era has yielded great advances in the understanding of cancer biology. At the same time, the immense complexity of the cancer genome has been revealed, as well as a striking heterogeneity at the whole-genome (or omics) level that exists between even histologically similar tumors. The vast accrual and public availability of multi-omics databases with associated clinical annotation including tumor histology, patient response, and outcome are a rich resource that has the potential to lead to rapid translation of high-throughput omics to improved overall survival. We focus on the unique advantages of a multidimensional approach to genomic analysis in this new high-throughput omics age and discuss the implications of the changing cancer demographic to translational omics research.}, 
URL = {http://genome.cshlp.org/content/22/2/188.abstract}, 
eprint = {http://genome.cshlp.org/content/22/2/188.full.pdf+html}, 
journal = {Genome Research} 
}