Artículo
A survey of computational approaches for characterizing microbial interactions in microbial mats
Perillo, Vanesa Liliana
; Nute, Michael; Sapoval, Nicolae; Curry, Kristen D.; Golia, Logan; Yin, Yongze; Ogilvie, Huw A.; Nakhleh, Luay; Segarra, Santiago; Bhaya, Devaki; Cuadrado, Diana Graciela
; Treangen, Todd J.
; Nute, Michael; Sapoval, Nicolae; Curry, Kristen D.; Golia, Logan; Yin, Yongze; Ogilvie, Huw A.; Nakhleh, Luay; Segarra, Santiago; Bhaya, Devaki; Cuadrado, Diana Graciela
; Treangen, Todd J.
Fecha de publicación:
05/2025
Editorial:
BioMed Central
Revista:
Genome Biology
ISSN:
1474-760X
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
In this review, we use microbial mat communities as a general model system to highlight the strengths and limitations of current computational methods for analyzing interactions between members of microbial ecosystems. We describe the factors that make this environment have such a high degree of interaction, and we explore different categories of both laboratory and computational tools for studying these interactions. For each tool, we describe efforts to apply them to microbial mats in the past and, in the process, argue that genome-scale metabolic models have breakthrough potential for modeling microbial interactions in microbial mats.
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Articulos(IADO)
Articulos de INST.ARG.DE OCEANOGRAFIA (I)
Articulos de INST.ARG.DE OCEANOGRAFIA (I)
Citación
Perillo, Vanesa Liliana; Nute, Michael; Sapoval, Nicolae; Curry, Kristen D.; Golia, Logan; et al.; A survey of computational approaches for characterizing microbial interactions in microbial mats; BioMed Central; Genome Biology; 26; 1; 5-2025; 1-20
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