metamicrobiomeR: an R package for analysis of microbiome relative abundance data using zero-inflated beta GAMLSS and meta-analysis across studies using random effects models

BACKGROUND: The rapid growth of high-throughput sequencing-based microbiome profiling has yielded tremendous insights into human health and physiology. Data generated from high-throughput sequencing of 16S rRNA gene amplicons are often preprocessed into composition or relative abundance. However, re...

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Detalles Bibliográficos
Autores principales: Ho, Nhan Thi, Li, Fan, Wang, Shuang, Kuhn, Louise
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6469060/
https://www.ncbi.nlm.nih.gov/pubmed/30991942
http://dx.doi.org/10.1186/s12859-019-2744-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6469060/
https://www.ncbi.nlm.nih.gov/pubmed/30991942
http://dx.doi.org/10.1186/s12859-019-2744-2

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