Dr. Browning's research is focused on the development of statistical and computational methods for analysis of large-scale genetic data from microarray genotyping and next-generation sequencing. These genetic data sets present computational and analytical challenges due to their size (which can exceed 40 billion data points), and due to the complex patterns of inter-marker correlation in the data. Carefully engineered algorithms and software are necessary to extract the full information from these rich data sets.
B L Browning, S R Browning (2011) A fast, powerful method for detecting identity by descent. The American Journal of Human Genetics. 88(2):173-182.
S R Browning, B L Browning (2010) High resolution detection of identity by descent in unrelated individuals. The American Journal of Human Genetics 86(4):526-539.
B L Browning Z Yu (2009) Simultaneous genotype calling and haplotype phasing improves genotype accuracy and reduces false-positive associations for genome-wide association studies. The American Journal of Human Genetics 85(6):847-861.
B L Browning, S R Browning (2009) A unified approach to genotype imputation and haplotype phase inference for large data sets of trios and unrelated individuals. The American Journal of Human Genetics. 84:210-223.
S R Browning, B L Browning (2007) Rapid and accurate haplotype phasing and missing-data inference for whole-genome association studies by use of localized haplotype clustering. The American Journal of Human Genetics 81:1084-1097.
B L Browning, S R Browning (2007) Efficient multilocus association testing for whole genome association studies using localized haplotype clustering. Genetic Epidemiology 31(5):365-375.