Objective
One of the challenging tasks given by the arrival of a complete genome is the detection of the genomic regions undergoing weak selection. This can only be done by comparative sequence analysis using bioinformatics tools to recover, store and analyze genomic data. According to population genetics models, the efficacy of natural selection is expected to vary with the recombination rate. The study of the impact of the recombination rate variations on the evolution of DNA sequences is thus required to detect regions undergoing weak selection. However, as we showed during my PhD, recombination has other neutral (= non selective) effects that could interfere with its role on selection efficacy. I propose to reevaluate the existent models of the recombination effects on genome evolution by taking into account these neutral effects. The modified models will then be tested with available genomic data from Drosophila melanogaster, Caenorhabditis elegans and Arabidopsis thaliana. This project involves bioinformatics, statistics and modeling approaches aimed at integrating and quantifying the effects of recombination on genome evolution. The scientific environment of the Charles worth's group is particularly adapted to this goal because they have a strong interest and experience on these topics. This will allow me to get population genetics skills in order to complement the genomic data analysis skills that I acquired during my PhD. For the host group, this will be the opportunity to get bioinformatics tools coming from the French group where I did my PhD. This will also allow fruitful scientific exchanges since applicant and host have different views about the effects of recombination on genome evolution.
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.
- natural sciences computer and information sciences data science
- natural sciences biological sciences genetics DNA
- natural sciences biological sciences genetics genomes eukaryotic genomes
You need to log in or register to use this function
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.
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.
Data not available
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.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Data not available
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
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.
Coordinator
EH9 3JT EDINBURGH
United Kingdom
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.