HARNESSING THE POWER OF NATURE THROUGH PRODUCTIVE MICROBIAL CONSORTIA IN BIOTECHNOLOGY – MEASURE, MODEL, MASTER | PROMICON | Project | Results | H2020 | CORDIS

Risultati finali

Running on-line single cell analysis platform

Running online single cell analysis platform

Quantitative MS-based metabolomics dataset

Quantitative MSbased metabolomics dataset

Connecting on-line single cell data with automatic evaluation pipelines

Connecting online single cell data with automatic evaluation pipelines

A set of optimized P. taiwanensis VLB 120 balancer strains with enhanced c-di-GMP levels.

A set of optimized P taiwanensis VLB 120 balancer strains with enhanced cdiGMP levels

NMR-environomics dataset

NMRenvironomics dataset

Meta-functional-environomics reconstruction of natural microbiome

Metafunctionalenvironomics reconstruction of natural microbiome

Characterization of microbial consortia from natural environments
A P. putida strain suitable as labor module including sucrose metabolism and lacking negative traits.

A P putida strain suitable as labor module including sucrose metabolism and lacking negative traits

Project branding and communication channels set-up and running (logo, promotional materials, website, templates, social media)

Project branding and communication channels setup and running logo promotional materials website templates social media

Pubblicazioni

Monitoring PHB production in Synechocystis sp. with hyperspectral images

Autori: Francisco Rodríguez Lorenzo; Miguel Placer Lorenzo; Luz Herrero Castilla; Juan Antonio Álvarez Rodríguez; Sandra Iglesias; Santiago Gómez; Juan Manuel Fernández Montenegro; Estel Rueda; Rubén Diez-Montero; Joan Garcia; Eva Gonzalez-Flo
Pubblicato in: Water Science & Technology, 2022, ISSN 1996-9732
Editore: IWA Publishing
DOI: 10.2166/wst.2022.194

Toward merging bottom–up and top–down model-based designing of synthetic microbial communities

Autori: David San León & Juan Nogales
Pubblicato in: Current Opinion in Microbiology, 2022, ISSN 1369-5274
Editore: Elsevier BV
DOI: 10.1016/j.mib.2022.102169

When microbial biotechnology meets material engineering

Autori: Ana M. Hernández-Arriaga, Cristina Campano, Virginia Rivero-Buceta, M. Auxiliadora Prieto
Pubblicato in: Microbial Biotechnology, 2022, ISSN 1751-7915
Editore: Willey
DOI: 10.1111/1751-7915.13975

A general deep hybrid model for bioreactor systems: Combining first principles with deep neural networks

Autori: José Pinto, Mykaella Mestre, J.Ramos, Rafael S.Costa, Gerald Striedner, RuiOliveira
Pubblicato in: Computers & Chemical Engineering, 2022, ISSN 0098-1354
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.compchemeng.2022.107952

SBML2HYB: a Python interface for SBML compatible hybrid modeling

Autori: José Pinto, Rafael S Costa, Leonardo Alexandre, João Ramos, Rui Oliveira
Pubblicato in: Bioinformatics, 2023, ISSN 1367-4803
Editore: Oxford University Press
DOI: 10.1093/bioinformatics/btad044

Current advances in engineering cyanobacteria and their applications for photosynthetic butanol production

Autori: Xufeng Liu, Hao Xie, Stamatina Roussou, Peter Lindblad
Pubblicato in: Current Opinion in Biotechnology, 2021, ISSN 0958-1669
Editore: Elsevier BV
DOI: 10.1016/j.copbio.2021.07.014

HARNESSING THE POWER OF NATURE THROUGH PRODUCTIVE MICROBIAL CONSORTIA IN BIOTECHNOLOGY – MEASURE, MODEL, MASTER

Risultati finali

Pubblicazioni

Condividi questa pagina

Scarica