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BlueRemediomics: Harnessing the marine microbiome for novel sustainable biogenics and ecosystem services

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Access and Benefit Sharing tools and guidelines

D5.1: Linked to the activities of D7.5-7.6, report on consortium partners' response to the Access and Benefit Sharing (ABS) tool and associated guidelines on conformance to ABS standards. To aid this, provide access to an ABS tool and prototype the linking of this tool to the MGnify resource [T5.1].

BlueRemediomics calendar

D7.1: Establish a project calendar detailing dates for key periodic meetings, the final conference, deliverables deadlines, and project reporting deadlines [T7.1].

Sample list-initial

D2.1: Identify initial list of samples existing in partner culture collections for distribution, culturing and downstream screening. Where appropriate, genetic data will be passed to WP1, to be incorporated into catalogues [T2.1].

Plan for Dissemination, Exploitation and Communication-initial

D6.1: To ensure the outcomes and KERs of BlueRemediomics are effectively transferred, establish a clear Plan for Dissemination, Exploitation and Communication (PDEC) from the project outset. This will be presented to all partners to ensure acceptance [T6.1].

Carbon fixation models

D4.2: Report on the distribution and abundance of the eight known carbon fixation pathways in marine microbes, detailing each pathway’s contributions to carbon sinks. This report will be supplemented by the results from the verification of carbon fixing pathways using Cyclotella cryptica [T4.2].

MGnify database-initial

D1.3: Produce the first set of eukaryotic metagenome assembled genomes (MAGs) in MGnify from marine assemblies. These will be functionally annotated and made available through the MGnify interfaces (website and API). Produce an updated set of bacterial MAGs from marine assemblies, annotated and released via MGnify [T1.2].

Additional metagenomic datasets added to database

D1.1: Identify additional marine and aquaculture datasets missing from MGnify and where appropriate, assemble and functionally annotate them and make them available via the MGnify website [T1.1].

Consortium working guidelines document-initial

D7.5: The internal document will outline the consortium's role in ensuring conformance to ABS, and equality diversity and inclusion (EDI) policies. The document will also outline our code of conduct. Elements of this document will be published on the website [T7.2].

Training guide

D7.7: All members of the consortium will be required to undertake basic training on ABS. This will help improve the understanding of each organisation’s requirements and responsibilities when sharing samples and data [T7.2].

Project website

D6.3: Dedicated project website, which will be used to promote project activities, achievements, provide relevant links to databases/dataset and link to project social media channels [T6.2].

Access and Benefit Sharing game

D5.4: Address knowledge gaps of Competent National Authorities (CNAs). Develop an Access and Benefit Sharing (ABS) role playing game to allow participants to practice ABS negotiations using a large set of hypothetical scenarios based on different scientific practices [T5.3].

Data Management Plan-initial

D7.2: Produce a working document that dynamically encapsulates how data should be managed during the project, including archiving of data in the public database beyond the lifetime of the project and adherence to FAIR principles, and where appropriate GDPR [T7.2].

Pubblicazioni

Linking satellites to genes with machine learning to estimate phytoplankton community structure from space

Autori: R. El Hourany; J. Pierella Karlusich; J. Pierella Karlusich; J. Pierella Karlusich; L. Zinger; L. Zinger; L. Zinger; H. Loisel; M. Levy; C. Bowler; C. Bowler
Pubblicato in: https://hal.science/hal-04582355, 2024, ISSN 1812-0792
Editore: Ocean Science
DOI: 10.5194/os-20-217-2024

The IDSM mass spectrometry extension: searching mass spectra using SPARQL

Autori: Galgonek J, Vondrášek J
Pubblicato in: Bioinformatics (Oxford, England), Numero Volume 40, Numero 4, 2024, ISSN 1367-4811
Editore: Oxford University Press
DOI: 10.1093/bioinformatics/btae174

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