HIGH THROUGHPUT METHOD TO ASSESS SNP FUNCTIONALITY IN PROSTATE CANCER


Year of Award:
2011
Award Type:
R43
Project Number:
CA163405
RFA Number:
RFA-CA-10-013
Technology Track:
Molecular & Cellular Analysis Technologies
PI/Project Leader:
WARREN, CHRISTOPHER L
Other PI or Project Leader:
OZERS, MARY SZATKOWSKI
Institution:
PROTEOVISTA, LLC
A critical unmet need in implementing personalized medicine is the ability to sort through the millions of single nucleotide polymorphisms (SNPs) present in the human genome and to pinpoint which of these DNA variations are causative in disease. A key und