Project description
Improving the reconstructing of phylogenetic trees
The phylogenetic tree shows the evolutionary relationships among individuals and entire populations or species. These mappings have numerous applications – from studying the dynamics of an epidemic to analysing the speciation and extinction dynamics of groups of species. The EU-funded PHYLOBD project will address the reconstructing of phylogenetic trees from sequence data. This requires specifying a ‘tree prior’ such as a model that represents a prior idea about the evolutionary dynamics. However, current priors are over-simplistic and often inconsistent with the model subsequently used to infer evolutionary dynamics. The project will improve full Bayesian phylogenetic inference by providing efficient implementations of tree priors. It will provide the tools for an accurate representation of rate-heterogeneous Bayesian posteriors.
Objective
"Phylogenetic trees represent the evolutionary relationships among individuals, populations, or species. These trees also contain information on the evolutionary dynamics in the underlying population, and can be used in a wide range of applications, from studying the dynamics of an epidemic to analyzing the speciation and extinction dynamics of groups of species.
Reconstructing phylogenetic trees from sequence data requires specifying a ""tree prior"", i.e. a model that represents a prior idea about the evolutionary dynamics. The adequacy of the tree prior influences the quality of the phylogenetic reconstruction, and consequently the quality of the inferred evolutionary dynamics. Unfortunately, the currently used priors are over-simplistic; in particular, they assume that evolutionary rates are constant in time and identical across lineages. These homogeneous tree priors are most often inconsistent with the model subsequently used to infer evolutionary dynamics, which is statistically problematic and likely to bias inferences. Several factors contribute to this issue: i) the computational challenges of carrying out ""full phylogenetic inferences"", that is analyses that co-estimate trees and dynamics, ii) the under-recognized influence of tree priors on phylogenetic reconstruction and subsequent analyses of evolutionary dynamics and iii) the lack of empirical guidance on the use and interpretation of rate-heterogeneous tree priors.
PHYLOBD will address this issue and significantly improve full Bayesian phylogenetic inference by: i) providing efficient implementations of tree priors that account for rate heterogeneity across lineages ii) evaluating the importance of using such tree priors iii) providing tools for an accurate representation of rate-heterogeneous Bayesian posteriors, and iv) providing efficient implementations of full Bayesian phylogenetic inference when data are sampled through time."
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2020
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
75230 Paris
France
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.