Principal Investigator(s): Mei-Ling Ting Lee, Ph.D.
Sponsor: University of Pittsburgh

Next-generation sequencing (NGS) technology has brought revolutionary per-base resolution to a variety of genome-wide analysis, including analyses for gene expression, methylation, fusion gene, mutation and copy number variation. Although the experimental cost continues to drop rapidly, the high sequencing expenses and bioinformatic complexity will continue to be an obstacle for many biomedical projects in the foreseeable future, making power calculation and careful experimental design a critical issue in applications. Unlike power calculation of traditional microarrays, modelling of NGS data not only involves sample size and genome-wide inference, but also includes sequencing depth and count data statistics.