Workshop in Biostatistics

Medical School Office Building (MSOB)
Rm x303

DATE: November 2, 2017
TIME: 1:30 - 2:50 pm
TITLE: Naive statistical tests in the quest for the meaning of life, the universe and everything
Gill Bejerano
Associate Professor
Computer Science, Developmental Biology & Pediatrics (Medical Genetics), Stanford



I will present a smorgasbord of statistical tests we devise in different genomic contexts. Some on text, some on DAGs, all revolve around our genome. After presenting each scenario I will pause to wonder out loud whether better tests cannot be designed, and will look to the audience for advice.

Suggested readings:

CY McLean, D Bristor, M Hiller, G Bejerano et al.  GREAT improves funcational interpretation of cis-regulatory regions.  NATURE BIOTECHNOLOGY 28, 485-501 (2010).

A Marcovitz, Y Turakhia, M Gloudemans, G Bejerano et al.  A novel unbiased test for molecular convergent evolution and discoveries in echolocating, aquatic and high-altitude mammals.  bioRXiv  doi:

J Birgmeier, M Haeussler, CA Deisseroth, G Bejerano et al.  AMELIE accelerates Mendelian patient diagnosis directly from the primary literature.  bioRXiv  doi:

KA Jagadeesh, AM Wenger, MJ Berger, G Bejerano et al.  M-CAP eliminates a majority of variants of uncertain significance in clinical exomes at high sensitivity.  Nature Genetics 48, 1581–1586 (2016) | doi:10.1038/ng.3703