ConGen-2 2016

Applications of Next Gen Sequencing to Understand Connectivity, Adaptation, and Environmental Influences on Genomic Variation

September 5-10, 2016

Goals & Overview

To provide training in conceptual and practical aspects of data analysis to understand the evolutionary and ecological genomics of natural and managed populations. Emphasis will be on next generation sequence (NGS) data analysis (RADs, DNA capture, and whole genome sequence analyses) and interpretation of output from recent novel statistical approaches and software programs. The course promotes daily discussions among early-career researchers (students/participants) and leaders in population genomics to help develop the “next generation” of conservation and evolutionary geneticists. We will identify and discuss developments needed to improve data analysis approaches. This course will cover analysis methods including the coalescent, Bayesian, approximate Bayesian (ABC), and likelihood-based approaches. Special sessions will be held on constructing linkage maps from SNPs and NGS data, on population viability & vulnerability analysis (PVA & VA), genetic monitoring (of Ne, Nb, Nm, etc.), and the use of GIS and remote sensing data to identify environmental variables influencing genetic diversity, Ne, and connectivity (Nm, Fst).  This course is partially sponsored by NASA (the National Aeronautics and Space Administration).  It includes >12 expert instructors and hands-on data analysis using your own data (with instructors) and dummy data sets provided by instructors. Most of the material and activities will be different from ConGen 2015.

(see Benestan et al. 2016: http://onlinelibrary.wiley.com/doi/10.1111/mec.13647/full;  and Andrews and Luikart 2014 - http://onlinelibrary.wiley.com/doi/10.1111/mec.12686/abstract, and also Andrews et al. 2016 - http://www.nature.com/nrg/journal/v17/n2/abs/nrg.2015.28.html)

 

Early bird discount if register and pay before June 15th

Check out the slideshow of 5 items below:

  • Slide Title: mosquito
  • Slide Title: bear
  • Slide Title: bobcats
  • Slide Title: fish
  • Slide Title: trees