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Molecular Evolution
Workshop on Molecular Evolution

Directors: David Hillis, University of Texas, Austin; and Mitchell L. Sogin, MBL

Course Date: July 27 – August 6, 2014
Online Application Form Extended Deadline: April 15, 2014
Course Website

The Workshop on Molecular Evolution at Woods Hole presents a series of lectures, discussions, and bioinformatic exercises that span contemporary topics in molecular evolution. Since its inception in 1988, the workshop has encouraged the exchange of ideas between leading theoreticians, software developers and workshop participants. The workshop serves graduate students, postdoctoral students and established faculty from around the world. The 2012 Workshop will use computer packages including AWTY, BEAST, BEST, Clustal W/X, FASTA, FigTree, GARLI, MIGRATE, LAMARC, MAFFT, MP-EST, MrBayes, PAML, PAUP*, PHYLIP, STEM, STEM-hy, and SeaView to address the topics:

  • Phylogenetic analysis: theoretical, mathematical and statistical bases; sampling properties of sequence data; Maximum likelihood theory and practice; Bayesian analysis; hypothesis testing
  • Population genetics analysis using coalescence theory; maximum likelihood and Bayesian estimation of population genetic parameters
  • Databases and sequence matching: database searching: protein sequence versus protein structure; homology; mathematical, statistical, and theoretical aspects of sequence database searches; multiple alignment
  • Molecular evolution integrated at organism and higher levels: population biology; biogeography; ecology; systematics and conservation
  • Molecular evolution and development: gene duplication and divergence; gene family organization; coordinated expression in evolution
  • Comparative genomics: genome content; genome structure; genome evolution
  • Molecular evolution integrated at lower levels: biochemistry; cell biology; physiology; relationship of genotype to phenotype

Students will work with computer packages on their own laptops and have the opportunity to use the high performance computer clusters at the MBL.

2013 Course Faculty:
Beerli, Peter, Florida State University
Bielawski, Joseph, Dalhousie University
Dunn, Casey, Brown University
Edwards, Scott, Harvard University
Felsenstein, Joseph, University of Washington
Heath, Tracy, University of California, Berkeley
Holder, Mark, The University of Kansas
Huelsenbeck, John, University of California, Berkeley
Kubatko, Laura, The Ohio State University
Lewis, Paul, University of Connecticut
Meehan, Conor, Dalhousie University
Pearson, William, University of Virginia
Rokas, Antonis, Vanderbilt University
Sawyer, Sara, University of Texas at Austin
Swofford, David, Duke University
Zwickl, Derrick, University of Arizona

2013 Course TAs
Liebeskind, Benjamin, University of Texas at Austin
Mctavish, Emily Jane, University of Texas at Austin
Meyerson, Nicholas, University of Texas at Austin



 
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