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Conferences

 
Computational Molecular Evolution
United Kingdom - Cambridge - Hinxton

Hosted by: Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
Venue: Wellcome Trust Genome Campus
Dates: Apr 13, 2015 through Apr 24, 2015

Description
 
This 2-week advanced course aims to provide graduate and postgraduate researchers with the theoretical knowledge and practical skills to carry out molecular evolutionary analyses on sequence data.

The need for effective and informed analysis of biological sequence data is increasing with the explosive growth of biological sequence databases. A molecular evolutionary framework is central to many Bioinformatics approaches used in these analyses, e.g., de novo gene finding from genomic sequences.

Additionally, explicit use of molecular evolutionary and phylogenetic analyses provide important insights in their own right, e.g., analysis of adaptive evolution in viruses providing clues to their interaction with host immune systems.

This course will offer a unique opportunity for direct interaction with some of the world-leading scientists and authors of famous analysis tools in evolutionary bioinformatics (John Huelsebeck, Olivier Gascuel, Nick Goldman, Bruce Rannala, Alexandros Stamatakis, Ziheng Yang, etc.).

Topics:

Data retrieval and assembly
Next Generation Sequencing technologies*
Alignment techniques
Phylogeny reconstruction
Hypothesis testing
Analysis of selection
Analysis of divergence times
Population genetics approaches
Parallel computing

The course will cover sessions on analysis of both protein and nucleotide sequences, including NGS data. *Please note: The course focuses on NGS analyses for molecular evolution and does not include tutorials on the traditional DNA-seq or RNA-seq data processing (QC, read mapping, SNP calling, assembly etc).
 
Additional Information
 
Event URL: http://www.wellcome.ac.uk/Education-resources/Courses-and-conferences/Advanced-Courses-and-Scientific-Conferences/Advanced-Courses/WTX049272.htm
ISCB Member Discount: None
Contact Person: ([javascript protected email address])

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