Unified computational solutions to disentangle biological interactions in multi-omics data

Informations projet

FindingPheno

N° de convention de subvention: 952914

DOI 10.3030/952914

Date de signature de la CE 2 Decembre 2020

Date de début 1 Mars 2021

Date de fin 28 Février 2025

Financé au titre de

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies – Biotechnology

Coût total € 5 793 085,00

Contribution de l’UE € 5 793 085,00

Coordonné par

KOBENHAVNS UNIVERSITET
Denmark

Livrables

Documents, reports (8)

Analysis of host-microbiome dynamics in gut microenvironment
Second Report on dissemination, training and networking activities in FindingPheno

Report on dissemination, training and networking activities in FindingPheno

Report on dissemination, training and networking activities in FindingPheno

Report on dissemination training and networking activities in FindingPheno

Plenary kick-off meeting, including minutes

Plenary kickoff meeting including minutes

PDER agreed (updated annually or when needed)

PDER agreed updated annually or when needed

Summary on challenges in curating public data to apply FindingPheno's solutions

Summary on challenges in curating public data to apply FindingPheno’s solutions

Knowledge resources for chicken, salmon and maize

Knowledge resources for chicken salmon and maize

Stakeholder Synergy Meeting

Websites, patent fillings, videos etc. (2)

Visual identity and project website for FindingPheno released
Dynamic model for multi-omic host-microbiome interactions

Publications

Peer reviewed articles (5)

A strategic model of a host–microbe–microbe system reveals the importance of a joint host–microbe immune response to combat stress-induced gut dysbiosis

Auteurs: István Scheuring, Jacob A, Rasmussen, Davide Bozzi, Morten T Limborg
Publié dans: Frontiers in Microbiology, Numéro 1664302X, 2022, ISSN 1664-302X
Éditeur: Frontiers Media
DOI: 10.3389/fmicb.2022.912806

The Evolution of Microbial Facilitation: Sociogenesis, Symbiogenesis, and Transition in Individuality

Auteurs: István Zachár, Gergely Boza
Publié dans: Frontiers in Ecology and Evolution, Numéro 2296701X, 2022, ISSN 2296-701X
Éditeur: Frontiers Media
DOI: 10.3389/fevo.2022.798045

Dealing with dimensionality: the application of machine learning to multi-omics data

Auteurs: Dylan Feldner-Busztin ,Panos Firbas Nisantzis,Shelley Jane Edmunds ,Gergely Boza ,Fernando Racimo,Shyam Gopalakrishnan,Morten Tønsberg Limborg,Leo Lahti,Gonzalo G. de Polavieja
Publié dans: Bioinformatics, Numéro Volume 39, Numéro 2, February 2023, 2023, ISSN 1367-4811
Éditeur: Oxford Press
DOI: 10.1093/bioinformatics/btad021

Quantifying the impact of ecological memory on the dynamics of interacting communities

Auteurs: Moein Khalighi; Didier Gonze; Karoline Faust; Guilhem Sommeria-Klein; Leo Lahti
Publié dans: PLOS Computational Biology, Numéro 1553734X, 2022, Page(s) e1009396, ISSN 1553-734X
Éditeur: Public Library of Science
DOI: 10.1371/journal.pcbi.1009396

Eco-evolutionary modelling of microbial syntrophy indicates the robustness of cross-feeding over cross-facilitation

Auteurs: Gergely Boza, György Barabás, István Scheuring, István Zachar
Publié dans: Scientific Reports, Numéro 2022 January 17. Volume 13, 2022, Page(s) 1-15, ISSN 2045-2322
Éditeur: Nature Publishing Group
DOI: 10.1038/s41598-023-27421-w