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<div style="text-align: center;"> <h1> Welcome to the Workshop on Molecular Evolution </h1> </div>
<div style="text-align: center;"> <h1> Welcome to the Workshop on Molecular Evolution </h1> </div>
| align="center" valign="top" colspan="5" width=50%| [[File:MOLE-2017-photo.png|none|1200px|Taken on Friday 22 July]]
| align="center" valign="top" colspan="5" width=50%| [[File:MOLE-2017-photo.png|none|800|Taken on Friday 22 July]]
Above: Group Photo from 2017 ([[2017 Group Photo Key]]) Photos from previous years: [[2012 Group Photo Key|2012]], [[2013 Group Photo Key|2013]], [[2014 Group Photo Key|2014]], [[2015 Group Photo Key|2015]])
Above: Group Photo from 2017 ([[2017 Group Photo Key]]) Photos from previous years: [[2012 Group Photo Key|2012]], [[2013 Group Photo Key|2013]], [[2014 Group Photo Key|2014]], [[2015 Group Photo Key|2015]])

Revision as of 12:43, 27 July 2017

Taken on Friday 22 July

Above: Group Photo from 2017 (2017 Group Photo Key) Photos from previous years: 2012, 2013, 2014, 2015)

How to prepare for the Workshop on Molecular Evolution

Opening Activities: 7 PM Thursday, July 20th

Computer orientation lab:

Day: Thursday evening
Time: 7:00-8:00 PM
Location: G70 (downstairs) in the Leob building (ask about this location when you check in)
Bring your laptop with you to the lab, and try to arrive between 6:45-7:00. We plan to get started at 7:00pm sharp.

Opening Reception:

Day: Thursday evening
Time: 8:00-10:00 PM
Location: The outdoor terrace of the Swope Building (this is a new location)
Bring an appetite, as this will be your dinner! (i.e., this is in lieu of the typical dinner in the cafeteria).
There will be plenty of food, drink and fresh air, with great views of Woods Hole and Eel Pond.

Co-director: Anne Yoder (Duke University, Durham, NC, USA)

Co-director: Joseph Bielawski (Dalhousie University, Halifax, NS, Canada)

Course Dates: July 20 to July 30, 2017.

MBL Course Page (to apply)

Course Facebook Page



Course Description

MBL’s Workshop on Molecular Evolution is the most prestigious workshop serving the field of evolutionary studies. Founded in 1988, it is the longest-running workshop if its kind, and it has earned worldwide recognition for its rich and intensive learning experience. Students work closely with internationally-recognized scientists, receiving (i) high-level instruction in the principles of molecular evolution and evolutionary genomics, (ii) advanced training in statistical methods best suited to modern datasets, and (iii) hands-on experience with the latest software tools (often from the authors of the programs they are using). The material is delivered via lectures, discussions, and bioinformatic exercises motivated by contemporary topics in molecular evolution. A hallmark of this workshop is the direct interaction between students and field-leading scientists. The workshop serves graduate students, postdocs, and established faculty from around the world seeking to apply the principles of molecular evolution to questions of anthropology, conservation genetics, development, behavior, physiology, and ecology. The workshop also welcomes participants from federal agencies and science journalists. A priority of this workshop is to foster an environment where students can learn from each other as well from the course faculty.

Content has been carefully selected to provide participants with the background and practical skills required by modern molecular datasets. The schedule addresses the following subject areas, with each subject having one or more exercises focused on practical data analysis and interpretation skills.

  • An evolutionary perspective on molecular data: sequence matching; protein sequence versus protein structure; homology, orthology and parology; mathematical, statistical, and theoretical aspects of sequence database searches; multiple alignment; information resources
  • Foundations of phylogenetic analysis: theoretical, mathematical, and statistical principles; sampling properties of sequence data; Maximum likelihood theory and practice; Bayesian analysis; hypothesis testing
  • Species-level phylogenomics: species trees from gene trees; species delimitation; multi locus and SNP data; empirical examples
  • Deep phylogenomics: deep evolutionary relationships; lateral gene transfer; modeling approaches; topology testing; sequencing strategies
  • Foundations of population genetic analysis: neutral theory; coalescence theory; maximum likelihood and Bayesian estimation of population genetic parameters; empirical examples
  • Population genomics: phylogeography; molecular ecology; next-generation population genetics; signatures of natural selection; natural populations of non-model organisms
  • Comparative genomics: genome content; genome structure; gene and genome evolutionary dynamics; prediction of gene function
  • Molecular evolution integrated at organism and higher levels: population biology and ecology; natural selection; systematics and conservation
  • Molecular evolution integrated at lower levels: biochemistry; cell biology; physiology; natural selection; relationship of genotype to phenotype

As the course progresses, participants learn how to use the following software to address questions concerning the origins, maintenance, and function of molecular variation: ASTRAL, BEAST2, BEST, BPP, FASTA, FigTree, GARLI, MIGRATE, MAFFT, MP-EST, RaxML, RevBayes, PAML, PAUP*, Phybase, ipyrad and SVD Quartets. Students will have the opportunity to work with software on their own laptops as well receive training on how to use the same programs on a high performance computer cluster.

Recent changes

  • Connection to the wiki is now encrypted (https). Depending on your browser you may be asked to accept an untrusted certificate. It is OK to say yes to this. If you're reading this you've probably figured this out.
  • All students now have editing rights on the wiki! Most of the existing pages are still protected, but you can create and edit new pages, and add to some pages like Resources and Participants.
  • Navigation Menu customized to be more useful (thanks Peter)

Schedule Faculty Participants Software Resources