gems

Global Enteric Multicenter Study (n = 1,006)

datasets

A toolkit for working with Biological Observation Matrix ('BIOM') files.
Read/write all 'BIOM' formats. Compute rarefaction, alpha diversity, and
beta diversity (including 'UniFrac'). Summarize counts by taxonomic level.
Subset based on metadata. Generate visualizations and statistical analyses.
CPU intensive operations are coded in C for speed.

Daniel P. Smith

rbiom

Read/Write, Analyze, and Visualize 'BIOM' Data

Alkek Center for Metagenomics and Microbiome Research 

gems function

An rbiom object with 1,006 samples.
Includes metadata and taxonomy.<dl>
<dt>diarrhea - </dt>
<dd>Case or Control</dd><dt>age - </dt>
<dd>0 - 4.8 (years old)</dd><dt>country - </dt>
<dd>Bangladesh, Gambia, Kenya, or Mali</dd>
</dl>

Format

Global Enteric Multicenter Study (n = 1,006) — gems

An rbiom object with 1,006 samples.
Includes metadata and taxonomy.<dl>
<dt>diarrhea - </dt>
<dd>Case or Control</dd>

<dt>age - </dt>
<dd>0 - 4.8 (years old)</dd>

<dt>country - </dt>
<dd>Bangladesh, Gambia, Kenya, or Mali</dd>


</dl>

gems: Global Enteric Multicenter Study (n = 1,006)

Description

Usage

Arguments

Format