Workshop on Molecular Evolution

Course Information

Course Date: July 20 – July 30, 2017

Deadline: April 7, 2017 | Apply here

Tuition: $2400.00
Room and Board: $702.50
Financial Assistance Available: Yes

Course Website

2016 Schedule

Director: Anne Yoder, Duke University; and Joseph Bielawski, Dalhousie University

Course Description

The MBL’s Workshop on Molecular Evolution presents a series of lectures, discussions, and bioinformatic exercises that span contemporary topics in molecular evolution. The workshop encourages the exchange of ideas among leading theoreticians, software developers, and workshop participants. The workshop serves graduate students, postdoctoral students, and established faculty from around the world. The Workshop will use computer packages including AWTY, BEAST, BEST, FASTA, FigTree, GARLI, MIGRATE, LAMARC, MAFFT, MP-EST, RevBayes, PAML, PAUP*, STEM, STEM-hy, and SeaView to address the following 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.

2016 Course Faculty & Lecturers

Peter Beerli, Florida State University
Joseph Bielawski, Dalhousie University
Casey Dunn, Brown University
Scott Edwards, Harvard University
Tracy Heath, Iowa State University
Mark Holder, University of Kansas
John Huelsenbeck, University of California, Berkeley
Laura Kubatko, The Ohio State University
Michael Landis, Yale University
Paul Lewis, University of Connecticut
Emily Jane Mctavish, University of Kansas
Nicholas Meyerson, University of Colorado Boulder
Peter Newstein, Bowdoin College
William Pearson, University of Virginia
David Swofford, Duke University
April Wright, Iowa State University
Anne Yoder, Duke University
Derrick Zwickl, University of Arizona