Difference between revisions of "Tracy Heath"

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== Contact Information ==
== Contact Information ==
*Institutional web pages:
*Web page: http://phyloworks.org/
*Blog: http://treethinkers.org/blog
*Blog: http://treethinkers.org/blog
*Twitter: [https://twitter.com/trayc7 @trayc7]
*Twitter: [https://twitter.com/trayc7 @trayc7]
*Email: phylo "at" iastate "dot" edu
*Email: phylo "at" iastate "dot" edu
== Research ==
== Research ==

Revision as of 08:18, 17 March 2015


Assistant Professor
Dept. Ecology, Evolution, & Organismal Biology
Iowa State University

Contact Information



I develop statistical models for use as priors in Bayesian methods for phylogenetic inference. In particular, I'm interested in divergence-time estimation -- e.g. modeling rate variation across the tree of life, diversification processes, and methods for incorporating information from the fossil record.

Time at MBL

Sunday July 27 - Wednesday August 6

2014 Course

Suggested Reading

Graphical Models

  • Höhna, Heath, Boussau, Landis, Ronquist, Huelsenbeck. 2014. Probabilistic graphical model representation in phylogenetics. Systematic Biology, in press. (doi: 10.1093/sysbio/syu039).

Divergence-Time Estimation

  • Thorne and Kishino. 2005. Estimation of divergence times from molecular sequence data. In: Nielsen R, editor, Statistical Methods in Molecular Evolution. New York: Springer, pp. 235–256. (PDF)
  • Heath and Moore. 2014. Bayesian inference of species divergence times. In: Bayesian Phylogenetics: Methods, Algorithms, and Applications. Chen, M.-H., L. Kuo, and P.O. Lewis (editors). Chapman & Hall/CRC. (book chapter email me for PDF)
  • BEAST2 Book: Drummond AJ, Bouckaert RR. 2014. Bayesian evolutionary analysis with BEAST 2. Cambridge University Press. (http://www.beast2.org/book.html)
  • Lartillot: blog post on diversification: http://bayesiancook.blogspot.com/2013/12/two-sides-of-same-coin.html
  • also see references in divergence-time tutorial

Optional Tutorials: Phylodynamics of Infectious Diseases

Many students are interested in Bayesian methods for understanding epidemiology. There are some great tools for applying these methods, including BEAST2: