The Department of Molecular and Cell Biology presents Andrew D. Smith, Ph.D., Assistant Professor, Molecular and Computational Biology, Division of Biological Sciences, University of Southern California, Los Angelea, CA
Presentation: Predicting the molecular complexity of sequencing libraries with application to single-cell resequencing.
Predicting the molecular complexity of a genomic sequencing library has emerged as a critical but difficult problem in modern applications of genome sequencing. Available methods to determine either how deeply to sequence, or predict the benefits of additional sequencing, are almost completely lacking. We introduce an empirical Bayesian method to implicitly model any source of bias and accurately characterize the molecular complexity of a DNA sample or library in almost any sequencing application.
We adapt and apply this method to the problem of evaluating experimental technologies for single-cell genome resequencing, the improvement of which represents a critical barrier to broad use of sequencing in pre-implantation genetic diagnostics.
Refreshments will be served at 3:45 p.m. in FO3.606.