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

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

Abstract 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. How...

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Bibliographic Details
Main Authors: Nhan Thi Ho, Fan Li, Shuang Wang, Louise Kuhn
Format: Article
Language:English
Published: BMC 2019-04-01
Series:BMC Bioinformatics
Subjects:
Microbiome
Relative abundance
GAMLSS
Zero-inflated beta
Meta-analysis
Random effect
Online Access:http://link.springer.com/article/10.1186/s12859-019-2744-2

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http://link.springer.com/article/10.1186/s12859-019-2744-2

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