Inferring and comparing metabolism across heterogeneous sets of annotated genomes using AuCoMe

Comparative analysis of genome-scale metabolic networks (GSMNs) may yield important information on the biology, evolution, and adaptation of species. However, it is impeded by the high heterogeneity of the quality and completeness of structural and functional genome annotations, which may bias the r...

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Detalles Bibliográficos
Autores principales: Belcour, Arnaud, Got, Jeanne, Aite, Méziane, Delage, Ludovic, Collén, Jonas, Frioux, Clémence, Leblanc, Catherine, Dittami, Simon M., Blanquart, Samuel, Markov, Gabriel V., Siegel, Anne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory Press 2023
Materias:
Methods
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10629481/
https://www.ncbi.nlm.nih.gov/pubmed/37468308
http://dx.doi.org/10.1101/gr.277056.122

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10629481/
https://www.ncbi.nlm.nih.gov/pubmed/37468308
http://dx.doi.org/10.1101/gr.277056.122

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