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Our team won
ACM's Gordon Bell Prize!
BlocBuster's custom correlation coeffient is the first scientific metric in the world
to be computed at
exascale speed!
BlocBuster's CCC metric is massively parallelized at Oak Ridge National Laboratory:
Parallel accelerated Custom Correlation Coefficient calculations for genomics applications
Wayne Joubert et al.
Parallel Computing, vol. 84, pp. 15-23, 2019
CCC metric is utilized to identify genetic risks for opioid addiction:
Attacking the Opioid Epidemic: Determining the Epistatic and Pleiotropic Genetic Architectures for
Chronic Pain and Opioid Addiction
Wayne Joubert et al.
SC'18, no. 57, 2018
BlocBuster identifies multilocus correlations involving vitamin D receptor
and skin color genes:
Latitudinal clines of the human vitamin D receptor and skin color genes
Dov Tiosano et al.
G3: Genes, Genomes, Genetics, vol. 6, pp. 1251-1266, 2016
Application of BlocBuster
to HapMap data reveals yin-yang sequences:
Human gephyrin is encompassed within giant functional
noncoding yin-yang sequences
Sharlee Climer, Alan R. Templeton, and Weixiong Zhang
Nature Communications, vol. 6, no. 6534, doi:10.1038/ncomms7534, 2015
BlocBuster
introduced and results for psoriasis GWAS:
Allele-specific network reveals combinatorial interaction that
transcends
small effects in psoriasis GWAS
Sharlee Climer, Alan R. Templeton, and Weixiong Zhang
PLoS Computational Biology, vol. 10, no. 9, e1003766, 2014
CCC
introduced and results for hypertensive heart disease GWAS:
A custom correlation coefficient (CCC) approach for fast
identification of
multi-SNP association patterns in genome-wide SNPs
data
Sharlee Climer, Wei Yang, Lisa de las Fuentes, Victor G. Davila-Roman,
and
C. Charles Gu
Genetic Epidemiology, vol. 38, no. 7, pp. 610-621, 2014