Temporal probabilistic modeling of bacterial compositions derived from 16S rRNA sequencing

MOTIVATION: The number of microbial and metagenomic studies has increased drastically due to advancements in next-generation sequencing-based measurement techniques. Statistical analysis and the validity of conclusions drawn from (time series) 16S rRNA and other metagenomic sequencing data is hamper...

Descripción completa

Detalles Bibliográficos
Autores principales: Äijö, Tarmo, Müller, Christian L, Bonneau, Richard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5860357/
https://www.ncbi.nlm.nih.gov/pubmed/28968799
http://dx.doi.org/10.1093/bioinformatics/btx549

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5860357/
https://www.ncbi.nlm.nih.gov/pubmed/28968799
http://dx.doi.org/10.1093/bioinformatics/btx549

Ejemplares similares