“Advances in DNA taxonomy”
This course is being delivered by Prof. Ziheng Yang and Dr. Diego Fontaneto
This course will run from 8th – 11th August 2016 at SCENE Field Station, Loch Lomond national park, Scotland
Starting from a refresher on approaches to obtain molecular phylogenies, the course will take students all the way to cutting-edge tools in DNA taxonomy. Species are one of the fundamental units in biology, and their identification is a pivotal step in biodiversity analyses. The rationale of the course is to offer a complete overview of the currently available methods to delineate units of biodiversity starting from DNA sequence data. By the end of the short course, you should have a basic understanding of how common methods work and how to apply them.
Course content is as follows
• Introduction to DNA taxonomy
• The applied ecological approach and the theoretical evolutionary approach.
• What is needed to perform DNA taxonomy.
• How to get data.
• Phylogenetic reconstruction using distance-based and parsimony methods.
• Introduction on NJ, UPGMA, parsimony; when and why they can be used for DNA taxonomy.
• Computer practical.
• Phylogenetic reconstructions
• Using Maximum Likelihood with computer practical on Maximum Likelihood.
• Using Bayesian Inference with computer practical on Bayesian Inference.
• Single-locus DNA taxonomy.
• Most commonly used methods Rationale and use for fixed threshold, ABGD, K/theta, PTP, GMYC with computer practicals.
• Other methods, Haplowebs, bGMYC, etc. with computer practicals
• Multi-locus DNA taxonomy with computer practicals
Please email any inquiries to firstname.lastname@example.org or visit our website www.prstatistics.com or to book onlinehttp://prstatistics.com/
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Upcoming courses – email for details email@example.com
SPATIAL ANALYSIS OF ECOLOGIC AL DATA USING R (April)
ADVANCING IN STATISTICAL MODELLING USING R (May)
TIME SERIES MODELS FOR ECOLOGISTS AND CLIMATOLOGISTS USING R (May)
INTRODUCTION TO PYTHON FOR BIOLOGISTS (May)
ADVANCES IN SPATIAL ANALYSIS OF MULTIVARIATE ECOLOGICAL DATA (July)
GENETIC DATA ANALYSIS USING R (August)
INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING (August)
MODEL BASED MULTIVARIATE ANALYSIS OF ECOLOGICAL DATA USING R (October)
LANDSCAPE (POPULATION) GENETIC DATA ANALYSIS USING R (October)
APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (October)
Dates still to be confirmed – email for details firstname.lastname@example.org
STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR USING R
INTRODUCTION TO R AND STATISTICS FOR BIOLOGISTS