Objective
Epigenomic research has become one the fastest evolving fields in molecular biology. Epigenetic effects control the packaging of DNA in the nucleus thereby deeply influencing gene expression. They also play crucial roles in cell differentiation and aberrant patterns are associated with cancer, mental disorders and autoimmune diseases. However, our understanding of the epigenomic code is still limited. A main obstacle to its decoding is the requirement for immensely data-intense experiments, as epigenomic configurations embrace multiple different marks which form an intricate interplay that varies between cell types. Advances in high-throughput sequencing resulted in a plethora of complex data sets and computational methods are called upon to solve pressing questions for their analysis and modeling. In this project, we will develop machine learning tools to combine epigenomic measurements with computational sequence analysis. This will provide us with a better understanding of the extent to which DNA sequence controls the establishment of epigenomic marks. It will also serve as a credible basis for data integration. We will next combine data from different cell lines and analyze them simultaneously. In particular, we will examine the effect of a certain transfactor, by comparing histone marks in wild type ES cells with mutants that lack the DNA-binding protein Cfp-1, which is known to play a role in the formation of epigenomic marks at active promoters. To shed light on the epigenomic impact on the transcriptome the framework will eventually be complemented by adding expression data. The proposed research will doubly benefit the applicant by introducing her to a new field of application, as well as a wider class of computational techniques. We believe this work to be of scientific importance, as the employed machine learning approaches are likely to lead to new insights in epigenome research with immense potential consequences in addressing key biomedical issues.
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences biological sciences genetics DNA
- natural sciences biological sciences biochemistry biomolecules proteins
- natural sciences computer and information sciences computational science
- natural sciences computer and information sciences artificial intelligence machine learning
- natural sciences biological sciences molecular biology
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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.
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.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-PEOPLE-2011-IEF
See other projects for this call
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
EH8 9YL 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.