Gavin Sherlock, Ph.D.
Department of Genetics
School of Medicine
Stanford, California 94305-5120
Faculty Directory Listing
How to find us
The Sherlock Lab - Yeast Genomics and Evolution
The Sherlock lab is a yeast genomics lab that uses both experimental
and computational approaches to characterize the yeast genome and uses
yeast as a model system to study evolution. We are using both long-
and short-term continuous culture (chemostat) experiments in
conjunction with high throughput sequencing to understand the
adaptive changes that occur in yeast in response to selective
pressures as the yeast evolve in vitro. We are also using
ultra-highthroughput sequencing to identify novel transcripts encoded
by the C. albicans genome.
In addition, the Sherlock
lab is also involved in several database projects, running the
Database, the Aspergillus
Genome Database and The Tuberculosis
We have also written software for the analysis and
visualization of high throughput data,
Caryoscope, and GeneXplorer.
Selected Recent Publications
Dunn, B., Paulish, T., Stanbery, A., Piotrowski, J., Koniges, G.,
Kroll, E., Louis, E.J., Liti, G., Sherlock, G., and Rosenzweig,
F. (2013). Recurrent Rearrangement during Adaptive Evolution in an
Interspecific Yeast Hybrid Suggests a Model for Rapid Introgression.
PLoS Genetics 9(3): e1003366.
Schwartz, K., Wenger, J.W., Dunn, B. and Sherlock,
G. (2012). APJ1 and GRE3 Homologs Work in Concert to
Allow Growth in Xylose in a Natural
Saccharomyces sensu stricto Hybrid Yeast.
Dunn, B., Richter, C., Kvitek, D.J., Pugh, T. and Sherlock,
G. (2012). Analysis of the Saccharomyces cerevisiae pan-genome
reveals a pool of copy number variants distributed in diverse yeast
strains from differing industrial environments.
Genome Research 22(5):908-24.
Wenger, J.W., Piotrowski, J., Nagarajan, S., Chiotti, K., Sherlock,
G. and Rosenzweig, F. (2011). Hunger Artists: Yeast Adapted to Carbon
Limitation Show Trade-Offs under Carbon Sufficiency. PLoS
Genetics 7(8): e1002202.
Kvitek, D.J. and Sherlock, G. (2011). Reciprocal Sign Epistasis
between Frequently Experimentally Evolved Adaptive Mutations Causes a
Rugged Fitness Landscape. PLoS Genetics 7(4): e1002056.
Kobayashi, Y., Absher, D.M., Gulzar, Z.G., Young, S.R., McKenney, J.K.,
Peehl, D.M., Brooks, J.D., Myers, R.M. and Sherlock, G. (2011). DNA
methylation profiling reveals novel biomarkers and important roles for
DNA methyltransferases in prostate cancer. Genome
Research 21, 1017-1027.