Computational Molecular Evolution | |
United Kingdom - Cambridge - Hinxton |
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Hosted by: | Wellcome Trust Genome Campus, Hinxton, Cambridge, UK |
Venue: | Wellcome Trust Genome Campus |
Dates: | Apr 13, 2015 through Apr 24, 2015 |
Description |
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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). |
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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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