metagenomeSeq

metagenomeSeq-package

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.A user's guide is available, and can be opened by typing <code>vignette("metagenomeSeq")</code> The metagenomeSeq package implements novel normalization and statistical methodology in the following papers.

package

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.

Joseph N Paulson

Statistical analysis for sparse high-throughput sequencing

metagenomeSeq-package function

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.

A user's guide is available, and can be opened by typing <code>vignette("metagenomeSeq")</code> 

The metagenomeSeq package implements novel normalization and statistical methodology in the following papers.

metagenomeSeq-package: Statistical analysis for sparse high-throughput sequencing

Description

Arguments

References