Author

Daniel J Jacob

Université de BordeauxORCID 0000-0002-6687-7169Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:database / resource· 2 Approach:experimental assay· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:host-pathogen & immune response· 1 Assay:metabolomics· 1 Organism:non-human primate· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Alejandra N Gonzalez-BeltraniD· 1 shared Alina PelusoiD· 1 shared Ana Maria de Oliveira PaschoaliD· 1 shared Anders O. LarssoniD· 1 shared Antonio RosatoiD· 1 shared Betânia Paiva DrumondiD· 1 shared Bita KhaliliiD· 1 shared Carles FoguetiD· 1 shared

Activity by Year

2018-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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1 shared paperBioinformatics

Alejandra N Gonzalez-BeltranORCID

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3 papers

Recent·Most cited

Human herpesvirus 1 associated with epizootics in Belo Horizonte, Minas Gerais, Brazil

Gabriela Fernanda Garcia Oliveira, Mikaelly Frasson Biccas, Daniel J Jacob, Michelle Alvarez Donati Soares de Oliveira, Ana Maria de Oliveira Paschoal, Pedro Augusto Alves, Cecília Barreto, Daniel Ambrózio da Rocha Vilela, Érika Procópio Tostes Teixeira, Thiago Lima Stehling, Thais Melo Mendes, Marlise Costa Silva, Munique Guimarães de Almeida, Ivan Vieira Sonoda, Érica Munhoz de Mello, , Betânia Paiva Drumond

This study identifies human herpesvirus 1 (HHV-1) as the cause of an epizootic in black-tufted marmosets in Brazil, highlighting human-to-primate pathogen transmission risks.

Viruses · Apr 30, 2025Peer-reviewedMicrobiology

Maggot: An ecosystem for sharing metadata within the web of FAIR Data

Daniel J Jacob, François Ehrenmann, Romain David, Joseph Tran, Cathleen Mirande‐Ney, Philippe Chaumeil

Maggot is a tool that generates and manages metadata for datasets to support FAIR data sharing and integration within collaborative environments.

bioRxiv · May 24, 2024 · PreprintBioinformatics

PhenoMeNal: Processing and analysis of Metabolomics data in the Cloud

Kristian Peters, James Bradbury, Sven Bergmann, Marco Capuccini, Marta Cascante, Pedro de Atauri, Timothy M. D. Ebbels, Carles Foguet, Robert Charles Glen, Alejandra N Gonzalez-Beltran, Ulrich L. Günther, Evangelos Handakas, Thomas Hankemeier, Kenneth Haug, Stephanie Herman, , Christoph Steinbeck

PhenoMeNal provides a cloud-based platform for metabolomics data analysis, integrating tools and workflows to enable reproducible and scalable research.

GigaScience · Dec 7, 2018Peer-reviewedBioinformatics