metagenomeSeq: Statistical analysis for sparse high-throughput sequencing

metagenomeSeq is designed to determine features (be it Operational Taxanomic Unit (OTU), species, etc.) that are differentially abundant between two or more groups of multiple samples. metagenomeSeq is designed to address the effects of both normalization and under-sampling of microbial communities on disease association detection and the testing of feature correlations.

Package overview README.md fitTimeSeries: differential abundance analysis through time or location metagenomeSeq: statistical analysis for sparse high-throughput sequencing

Vignettes Man pages API and functions Files

Package details
Author	Joseph Nathaniel Paulson, Nathan D. Olson, Domenick J. Braccia, Justin Wagner, Hisham Talukder, Mihai Pop, Hector Corrada Bravo
Bioconductor views	Classification Clustering DifferentialExpression GeneticVariability ImmunoOncology Metagenomics Microbiome MultipleComparison Normalization Sequencing Software Visualization
Maintainer	Joseph N. Paulson <jpaulson@jimmy.harvard.edu>
License	Artistic-2.0
Version	1.32.0
URL	https://github.com/nosson/metagenomeSeq/
Package repository	View on Bioconductor
Installation	Install the latest version of this package by entering the following in R: `if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("metagenomeSeq")`