Computational Molecular Evolution 2017
In-Person Event
May 08 - 19, 2017
Cambridgeshire, England, GBSpeakers
OVERVIEW
Computational Molecular Evolution is organized by Wellcome Genome Campus and would be held during May 8 - 19, 2017 at Wellcome Genome Campus, Hinxton, England, United Kingdom. The target audience for this medical event basically for biology and bioinformatics PhD students or postdocs in the early stages of their research career, and who already have some familiarity with phylogenetic methods (i.e., have already used some of the computer programs).
The need for phylogenetic comparisons of molecular sequences has been increasing steadily with the explosive growth of genomic sequence data.
Learning Outcomes :
By the end of the course participants should be able to:
• Interpret evolutionary trees and recognise / discuss the power of molecular phylogenies for understanding real-world biological questions, relating to evolutionary history, current-day biodiversity and future diversification of living organisms
• Browse, query and extract genome sequence from public databases, and create multiple sequence alignments.
• Employ appropriate bioinformatics skills that also allow for the analysis of large genome-scale datasets, including command line use of specialist software, simple scripting, compiling programs and submitting jobs on multi-core servers and compute clusters.
• Select and apply appropriate commonly used phylogenetic software packages (such as PhyML, RAxML, PAML, MrBayes, BEAST) to infer phylogenetic trees, estimate divergence times, and test phylogenetic hypotheses.
• Understand and explain the underlying principles of major phylogenetic methods such as distance matrix-based, maximum likelihood, and Bayesian methods, including the MCMC method.
• Understand and explain the use of Markov models of nucleotide, amino acid and codon substitution, hypothesis testing using the likelihood ratio test, coalescent and multispecies coalescent models in species tree estimation and species delimitation.
• Apply likelihood ratio tests to infer the existence and location of molecular adaptation affecting protein-coding genes.
The need for phylogenetic comparisons of molecular sequences has been increasing steadily with the explosive growth of genomic sequence data.
Learning Outcomes :
By the end of the course participants should be able to:
• Interpret evolutionary trees and recognise / discuss the power of molecular phylogenies for understanding real-world biological questions, relating to evolutionary history, current-day biodiversity and future diversification of living organisms
• Browse, query and extract genome sequence from public databases, and create multiple sequence alignments.
• Employ appropriate bioinformatics skills that also allow for the analysis of large genome-scale datasets, including command line use of specialist software, simple scripting, compiling programs and submitting jobs on multi-core servers and compute clusters.
• Select and apply appropriate commonly used phylogenetic software packages (such as PhyML, RAxML, PAML, MrBayes, BEAST) to infer phylogenetic trees, estimate divergence times, and test phylogenetic hypotheses.
• Understand and explain the underlying principles of major phylogenetic methods such as distance matrix-based, maximum likelihood, and Bayesian methods, including the MCMC method.
• Understand and explain the use of Markov models of nucleotide, amino acid and codon substitution, hypothesis testing using the likelihood ratio test, coalescent and multispecies coalescent models in species tree estimation and species delimitation.
• Apply likelihood ratio tests to infer the existence and location of molecular adaptation affecting protein-coding genes.
KEY DATES
08 May, 2017
Event Start Date
19 May, 2017
Event End Date
SPECIALITIES
GeneticsResearch and Clinical ResearchSUGGESTED HOTELS
CONFERENCE VENUE
Wellcome Genome Campus Conference CentreRELATED CONFERENCES & LIVE WEBINARS
Quick Links