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DiMeTrack

Financiado

Cerrado

Assembly based discovery of uncharacterized human microbiome members and their t...

Assembly based discovery of uncharacterized human microbiome members and their tracking across individuals and time 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 predic... ver más

01/12/2018

UNITN

180K€

Presupuesto del proyecto: 180K€

Líder del proyecto

UNIVERSITA DEGLI STUDI DI TRENTO No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2018-12-01

MSCA-IF-2015-EF: Marie Skłodowska-Curie Individual F...

I+D

Cerrada hace 9 años

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Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

1 Participantes

UNITN

180.28K€ | Lider

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Duración del proyecto: 33 meses Fecha Inicio: 2016-02-29
Fecha Fin: 2018-12-01

Líder del proyecto

UNIVERSITA DEGLI STUDI DI TRENTO No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 180K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto 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.

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