Robustness analysis of metabolic predictions in algal microbial communities based on different annotation pipelines.

Karimi, Elham; Geslain, Enora; Belcour, Arnaud; Frioux, Clémence; Aïte, Méziane; Siegel, Anne; Corre, Erwan; Dittami, Simon M

Karimi, Elham; Geslain, Enora; Belcour, Arnaud; Frioux, Clémence; Aïte, Méziane; Siegel, Anne; Corre, Erwan; Dittami, Simon M.

Afiliação

Karimi E; UMR8227, Integrative Biology of Marine Models, Sorbonne Université/CNRS, Station Biologique de Roscoff, Roscoff, France.
Geslain E; UMR8227, Integrative Biology of Marine Models, Sorbonne Université/CNRS, Station Biologique de Roscoff, Roscoff, France.
Belcour A; FR2424, Sorbonne Université/CNRS, Station Biologique de Roscoff, Roscoff, France.
Frioux C; Equipe Dyliss, Univ Rennes, Inria, CNRS, IRISA, Rennes, France.
Aïte M; Inria, INRAE, CNRS, Univ. Bordeaux, Talence, France.
Siegel A; Equipe Dyliss, Univ Rennes, Inria, CNRS, IRISA, Rennes, France.
Corre E; Equipe Dyliss, Univ Rennes, Inria, CNRS, IRISA, Rennes, France.
Dittami SM; FR2424, Sorbonne Université/CNRS, Station Biologique de Roscoff, Roscoff, France.

PeerJ ; 9: e11344, 2021.

Article em En | MEDLINE | ID: mdl-33996285

Palavras-chave

Functional annotation; Genome-scale metabolic networks; Holobionts; Metabolic complementary analyses; Metabolic exchanges; Gene prediction

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: PeerJ Ano de publicação: 2021 Tipo de documento: Article País de afiliação: França

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