Computational Molecular Evolution
Course - Heraklion, Greece
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 of their interaction with host immune systems.
To this end, we aim to provide graduate and postgraduate researchers with the theoretical knowledge and practical skills to carry out molecular evolutionary analyses on sequence data.
Preference is given to applicants who:
are doctoral candidates in the early to middle stages of their thesis research
already have some familiarity (i.e. have already used some of the relevant tools) with phylogenetic methods have already collected/assembled a molecular sequence dataset to analyze in their work have experience working in a Unix/Linux command-line environment
Organization: EMBO
(Courtesy of EMBO Practical Course: 'Computational molecular evolution' venue, via
events.embo.org/14-computational-evolution)
Computational Molecular Evolution
Mon, May 05, 2014 - Wed, May 14, 2014
Hotel Astir Beach
Gouves, Heraklion, 70014, Crete, Greece
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