Extending PROXIMAL to predict degradation pathways of phenolic compounds in the human gut microbiota.

Autor: Balzerani, Francesco¹ (AUTHOR), Blasco, Telmo¹ (AUTHOR), Pérez-Burillo, Sergio¹ (AUTHOR), Valcarcel, Luis V.^1,2,3 (AUTHOR), Hassoun, Soha^4,5 (AUTHOR) soha.hassoun@tufts.edu, Planes, Francisco J.^1,2,3 (AUTHOR) fplanes@tecnun.es

Publikováno v: NPJ Systems Biology & Applications. 5/27/2024, Vol. 10 Issue 1, p1-11. 11p.

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q2-metnet: QIIME2 package to analyse 16S rRNA data via high-quality metabolic reconstructions of the human gut microbiota.

Autor: Balzerani F; Tecnun School of Engineering, Biomedical Engineering and Sciences Department, University of Navarra, San Sebastian 20018, Spain., Blasco T; Tecnun School of Engineering, Biomedical Engineering and Sciences Department, University of Navarra, San Sebastian 20018, Spain., Pérez-Burillo S; Tecnun School of Engineering, Biomedical Engineering and Sciences Department, University of Navarra, San Sebastian 20018, Spain., Francino MP; Area de Genómica y Salud, Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana-Salud Pública, Valencia, 46020, Spain.; CIBER en Epidemiología y Salud Pública, Madrid, Spain., Rufián-Henares JÁ; Departamento de Nutrición y Bromatología, Instituto de Nutrición y Tecnología de los Alimentos, Centro de Investigación Biomédica, Universidad de Granada, Granada, 18071, Spain.; Instituto de Investigación Biosanitaria ibs.GRANADA, Universidad de Granada, Granada, 18071, Spain., Valcarcel LV; Tecnun School of Engineering, Biomedical Engineering and Sciences Department, University of Navarra, San Sebastian 20018, Spain.; Biomedical Engineering Center, University of Navarra, Pamplona 31009, Spain.; Instituto de Ciencia de los Datos e Inteligencia Artificial (DATAI), University of Navarra, Pamplona 31009, Spain., Planes FJ; Tecnun School of Engineering, Biomedical Engineering and Sciences Department, University of Navarra, San Sebastian 20018, Spain.; Biomedical Engineering Center, University of Navarra, Pamplona 31009, Spain.; Instituto de Ciencia de los Datos e Inteligencia Artificial (DATAI), University of Navarra, Pamplona 31009, Spain.

Publikováno v: Bioinformatics (Oxford, England) [Bioinformatics] 2024 Nov 01; Vol. 40 (11).