School of Medicine
Showing 41-50 of 54 Results
Professor of Genetics and of Biology
Current Research and Scholarly Interests We are interested in a broad range of problems at the interface of genomics and evolutionary biology. One current focus of the lab is in understanding how genetic variation impacts gene regulation and complex traits. We also have long-term interests in using genetic data to learn about population structure, history and adaptation, especially in humans.
FOR UP-TO-DATE DETAILS ON MY LAB AND RESEARCH, PLEASE SEE: http://pritchardlab.stanford.edu
Professor of Pediatrics (Hematology/Oncology) and of Genetics
Current Research and Scholarly Interests We investigate the mechanisms by which normal cells become tumor cells, and we combine genetics, genomics, and proteomics approaches to investigate the differences between the proliferative response in response to injury and the hyperproliferative phenotype of cancer cells and to identify novel therapeutic targets in cancer cells.
Associate Professor of Genetics
Current Research and Scholarly Interests Evolution and the adaptive landscape using yeast as a model; Defining yeast transcriptomes; chromosomal evolution in hybrid yeast species
Professor of Pathology and of Genetics
Current Research and Scholarly Interests We have a highly collaborative research program in the evolutionary genomics of cancer. We apply well-established principles of phylogenetics to cancer evolution on the basis of whole genome sequencing and functional genomics data of multiple tumor samples from the same patient. Introductions to our work and the concepts we apply are best found in the Newburger et al paper in Genome Research and the Sidow and Spies review in TIGS.
More information can be found here: http://www.sidowlab.org
Stanford W. Ascherman, MD, FACS, Professor in Genetics
Current Research and Scholarly Interests Our laboratory use different omics approaches to study a) regulatory networks, b) intra- and inter-species variation which differs primarily at the level of regulatory information c) human health and disease. For the later we have established integrated Personal Omics Profiling (iPOP), an analysis that combines longitudinal analyses of genomic, transcriptomic, proteomic, metabolomic, DNA methylation, microbiome and autoantibody profiles to monitor healthy and disease states
Frank Lee and Carol Hall Professor, Senior Associate Vice Provost of Research and Professor of Genetics
Current Research and Scholarly Interests We use the tools of genetics, microscopy, and biochemistry to understand fundamental questions of cell biology: How are cells organized by the cytoskeleton? How do the centrosome and cilium control cell control cell signaling? How is cell division coordinated with duplication of the centrosome, and what goes wrong in cancer cells defective in this coordination?
Professor of Genetics
Current Research and Scholarly Interests We apply diverse genomic approaches to understand how genetic variation affects health and disease by: 1) functional and mechanistic analyses of gene regulation, 2) studies of meiotic recombination and inheritance, 3) analyses of genetic and environmental interactions, and 4) characterization of diseases in human cells and model organisms. We integrate wet lab and computational genomic, transcriptomic, proteomic and metabolic approaches, and develop technologies to enable personalized medicine.
Professor of Genetics and, by courtesy, of Statistics
Current Research and Scholarly Interests Develop statistical and computational methods for population genomics analyses; modeling human evolutionary history; genetic association studies in admixed populations.
Professor of Genetics, of Biology and, by courtesy, of Chemistry
Current Research and Scholarly Interests We develop chemogenetic and optogenetic technologies for probing and manipulating protein networks, cellular RNA, and the function of mitochondria and the mammalian brain. Our technologies draw from enzyme engineering, directed evolution, chemical biology, organic synthesis, high-resolution microscopy, genetics, and computational analysis.