A Bayesian inference method for the analysis of transcriptional regulatory networks in metagenomic data

BACKGROUND: Metagenomics enables the analysis of bacterial population composition and the study of emergent population features, such as shared metabolic pathways. Recently, we have shown that metagenomics datasets can be leveraged to characterize population-wide transcriptional regulatory networks,...

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Detalles Bibliográficos
Autores principales: Hobbs, Elizabeth T., Pereira, Talmo, O’Neill, Patrick K., Erill, Ivan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4938975/
https://www.ncbi.nlm.nih.gov/pubmed/27398089
http://dx.doi.org/10.1186/s13015-016-0082-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4938975/
https://www.ncbi.nlm.nih.gov/pubmed/27398089
http://dx.doi.org/10.1186/s13015-016-0082-8

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