Disentangling temporal associations in marine microbial networks

BACKGROUND: Microbial interactions are fundamental for Earth’s ecosystem functioning and biogeochemical cycling. Nevertheless, they are challenging to identify and remain barely known. Omics-based censuses are helpful in predicting microbial interactions through the statistical inference of single (...

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Detalles Bibliográficos
Autores principales: Deutschmann, Ina Maria, Krabberød, Anders K., Latorre, Francisco, Delage, Erwan, Marrasé, Cèlia, Balagué, Vanessa, Gasol, Josep M., Massana, Ramon, Eveillard, Damien, Chaffron, Samuel, Logares, Ramiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10120119/
https://www.ncbi.nlm.nih.gov/pubmed/37081491
http://dx.doi.org/10.1186/s40168-023-01523-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10120119/
https://www.ncbi.nlm.nih.gov/pubmed/37081491
http://dx.doi.org/10.1186/s40168-023-01523-z

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