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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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| Vydáno v: | Algorithms Mol Biol |
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| Hlavní autoři: | , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
BioMed Central
2016
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4938975/ https://ncbi.nlm.nih.gov/pubmed/27398089 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13015-016-0082-8 |
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