Program

Main content

Sunday February 5th

Arrival and welcome

10:00 - 18:00 Arrival and registration of participants – Alexander & Gerbi Hotel   

19:00 Welcome and introductory information

20:00 Opening dinner

EXTRACTING SNP DATA FROM NGS READS

Monday February 6th

Part 1: The bioinformatics of reduced representation libraries: RADseq and beyond

Dr. Jonathan Puritz (Marine Science Center, Northeastern University, USA)

Session 1 - An overview of the many different RAD techniques, RAD experimental design, and minimizing bias in the laboratory

Session 2 - Pipelines, software packages, and scripting - how to generate SNPs from RADseq data

Session 3 - Skimming SNPs from the top: techniques for filtering RADseq SNPs

Tuesday February 7th

Part 2: Whole Genome and Exome Datasets

Mr. Erik Garrison (Wellcome Trust Sanger Institute, UK)

Session 1 - Overview and theory of SNP and indel calling from NGS data; approaches, pitfalls and best practice

Session 2 - Case studies in variant calling: germlines, populations, somatic variation, pools, polyploids, haplotypes, and structural variants

INFERENCE OF EVOLUTIONARY SIGNAL FROM SNP DATA

Wednesday February 8th

Part 1: Statistical population genetics and inference of population structure  

Prof. Dr. Alex Buerkle (University of Wyoming, USA)

Session 1 - Bayesian models for genotypic data (likelihoods or point estimates)

Session 2 - Introduction to hierarchical population models

Session 3 - Ancestry modeling

Thursday February 9th

Part 2: Detection of signatures of selection

Dr. Anders Albrechtsen (Bioinformatics Centre, Copenhagen University, Denmark)

Session 1 - The effect of selection on the genome: haplotype structure, population divergence and the site frequency spectrum

Session 2 - Methods to detect selection signals and the problem of assessing significance

Session 3 - Genomic scan for selection from low depth sequencing data

Friday February 10th

Part 3: Inferring complex demographies from genomic data and low coverage GWAS    

Prof. Dr. Daniel Wegmann (University of Fribourg, Switzerland)

Session 1 – Estimating diversity from NGS data: the problem of filtering and some solutions

Session 2 – Inferring complex demographies from frequency spectra using composite likelihood approaches and Approximate Bayesian Computation

Session 3 – Using low-coverage sequencing data for GWAS

20:00 Closing dinner (Swiss speciality)

Saturday February 11th

Breakfast and Departure

top

 
 
Page URL: http://www.adaptation.ethz.ch/education/winter-school-2017/program.html
Wed Jun 28 07:17:02 CEST 2017
© 2017 Eidgenössische Technische Hochschule Zürich