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Noah A. Rosenberg
Assistant Professor
Ph.D., Stanford University, 2001
U-M affiliation(s)
Department of Ecology and Evolutionary Biology
Department of Human Genetics
Department of Biostatistics
Bioinformatics Program
Life Sciences Institute
Contact information
University of Michigan
Bioinformatics Program
University of Michigan
2017 Palmer Commons
100 Washtenaw Ave.
Ann Arbor, MI 48109-2218
Office: 2035c Palmer Commons
Lab: 2035 Palmer Commons
Phone: (734) 615-9556, office
(734) 615-9551, lab
Fax: (734) 615-6553 Email: rnoah@umich.edu
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Fields of study
Mathematical models in genetics and evolution, human population genetics, phylogenetics
Academic background
I received my Ph.D. degree from
Stanford
University
in ecology and evolutionary biology in 2001. I was a postdoctoral fellow in the molecular and computational biology program at the
University
of
Southern California
from 2001-2005.
Rosenberg Lab home page
News
Most detailed global study of genetic variation released
Professor Noah Rosenberg and his colleagues have produced the largest and most detailed worldwide study of human genetic variation, offering unprecedented insights into humanity's origins. (more)
Gene study supports native American land bridge theory
U-M researchers analyze 678 genetic markers in 29 native populations
Did a relatively small number of people from Siberia who trekked across a Bering Strait land bridge some 12,000 years ago give rise to the native peoples of North and South America?
Professor Noah A. Rosenberg, working with University of Michigan scientists and an international team of geneticists and anthropologists, has produced new genetic evidence that supports the land bridge theory.
The study, published online in PLoS Genetics in November 2007, is one of the most comprehensive analyses so far among efforts to use genetic data to shed light on the topic. (more). See Science News Online and a cool interactive at the American Museum of Natural History (click on Human>Snapshots>Tracing the First Americans).
U-M Health System press release
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