Objective
The physical organization of bacterial chromosomes is inherently variable, with large conformational fluctuations both from cell to cell and over time. Yet, chromosomes must also be structured to facilitate processes such as transcription, replication, and segregation. A physical description of this dynamic statistical folding of bacterial chromosomes remains largely elusive.
Hi-C experiments probe chromosome organization by measuring average contact frequencies of chromosomal loci pairs. Despite the rapidly expanding database of high-resolution Hi-C data for many bacterial species and conditions, these data are still mainly interpreted on a case-by-case basis and with qualitative or heuristic methods.
My goal is to develop a principled unifying approach to infer and analyze the dynamic organization of chromosomes from bacterial Hi-C data. This data-driven approach aims to unravel the dynamic statistical folding of chromosomes and its impact on functional processes in growing and replicating bacteria.
We will infer a bacterial chromosome model from state-of-the-art data using learning methods at the intersection of information theory and statistical mechanics. By combining data-driven with mechanistic modelling approaches, we aim to:
Decode information contained in Hi-C data by learning both 3D steady-state and 4D dynamic models for the statistical organization of chromosomes.
Provide a unifying statistical mechanics analysis of the dynamic statistical folding of chromosomes across bacterial species under both steady-state and replicating conditions.
Develop theoretical methods using pairwise and multi-contact statistics to study the topology of statistical chromosome folding.
My research will advance the field by providing a conceptual understanding of the physical and mechanistic principles that underlie chromosome organization in developing bacteria. This work could shed new light on vital functional processes such as chromosome segregation.
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 databases
- natural sciences biological sciences microbiology bacteriology
- natural sciences mathematics pure mathematics topology
- natural sciences physical sciences classical mechanics statistical mechanics
- natural sciences biological sciences genetics chromosomes
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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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HORIZON.1.1 - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
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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.
HORIZON-ERC - HORIZON ERC Grants
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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) ERC-2023-COG
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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.
1081 HV Amsterdam
Netherlands
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.