Objective
In this proposal we aim to expose and characterize members of the human-associated microbial dark matter and exploit the novel information to dramatically enhance the resolution of metagenomic profiling and develop accurate predictive/diagnostic tools.
As a first step we will discover currently uncharacterized human microbiome members from metagenomic data through novel application of assembly-based approaches on a large compendium of newly generated and available shotgun metagenomes (Aim 1). The new identified genomes will be phylogenetically and taxonomically characterized and investigated to track strain-level individual and temporal genetic variability (Aim 2). The new genomes will be then used to develop a next generation host condition prediction approach through a genome-level machine learning tool (Aim 3).
The three main objectives of the proposal are functional to the characterization of microbial dark matter from human microbiome and its use for strain-level microbiology tasks and metagenomic prediction/association tools. DiMeTrack focuses specifically on shotgun metagenomics and tracking across time and individual on many samples from publicly available databases and generated at the host laboratory. By discovering previously uncharacterized microorganisms and unravelling their roles in specific biological phenomena (e.g. mother-to-neonate transmission) and association with disease states, we fulfil the Horizon 2020 policies in supporting research and innovation that improve our understanding of the causes and mechanisms underlying healthy and diseased people and improve our ability to monitor and detect diseases.
The profile and the future research plan of the applicant fits well with these research areas. In addition, after working in United States for a few years, he wants to be reintegrated in a research position in EU.
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 physical sciences astronomy astrophysics dark matter
- natural sciences biological sciences ecology ecosystems
- natural sciences computer and information sciences artificial intelligence machine learning
- natural sciences biological sciences microbiology
- natural sciences biological sciences genetics genomes eukaryotic genomes
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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.
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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-EF-RI - RI – Reintegration panel
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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-2015
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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.
38122 TRENTO
Italy
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.