photo-1Timothy H Webster
Assistant Professor
Department of Anthropology
University of Utah
timothy.h.webster (at) utah.edu

CV

Google Scholar Citations
ResearchGate
LinkedIn
Github

I’m currently recruiting postdocs and graduate students. If you’re interested in primate evolutionary or population genomics (broadly defined), please contact me at timothy.h.webster (at) utah.edu.

Our lab uses genomic data and computational methods to understand primate evolution, ecology, and behavior. We are particularly interested in the processes responsible for generating and maintaining biological diversity. In particular, we explore (1) macroevolutionary processes, especially speciation, adaptation, and sex chromosome evolution, (2) modern and historical aspects of behavioral ecology and social organization, and (3) within-organism patterns of somatic variation related to development and disease. This involves both the development of software and methods, as well as the analysis of large, population genomic datasets. This work also spans variety of species, with current projects investigating humans, chimpanzees, macaques, lemurs, and tortoises.

News

January 1, 2019 – Webster joins the Department of Anthropology at the University of Utah as an Assistant Professor.

December 19, 2018 – New preprint, “Successful exome capture and sequencing in lemurs using human baits” is up at biorXiv!

July 18, 2018 – Our preprint, “Identifying, understanding, and correcting technical biases on the sex chromosomes in next-generation sequencing data”, is available at bioRxiv! The software we describe, XYalign, is available on Github.

July 2, 2018 – The paper describing Bioconda, “Bioconda: sustainable and comprehensive software distribution for the life sciences”, is now online at Nature Methods!

May 22, 2018 – I’ll be joining the Department of Anthropology at the University of Utah as an assistant professor in January 2019.

January 30, 2018 – Version 1.1 of the Mojave desert tortoise genome is up at NCBI. See our preprint for updates from version 1.0, and our Github repo for scripts we used to finish the genome.

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