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The microbiomeutilities is a supporting R package for the parent microbiome R/BioC package. This utility tool includes functions for formatting and visualization of phyloseq object. The package has a function microbiome_pipeline, which generates an HTML report with infromation on preliminary QC, Alpha Diversity, Ordination and Composition analysis of OTU tables. The HTML report can be convenient for having prelimanry insights into the data.

Package website and online documentation

Example output of the microbiome_pipeline: here.

The package provides access to a subset of studies included in the MicrobiomeHD database from Duvallet et al 2017: Meta-analysis of gut microbiome studies identifies disease-specific and shared responses. Nature communications. These datasets are converted to phyloseq objects and can be directly used in R environment.

Install microbiomeutilities


Citation: Sudarshan A. Shetty, & Leo Lahti. (2018, October 25). microbiomeutilities: An R package for utilities to guide in-depth marker gene amplicon data analysis (Version 0.99.00). Zenodo. DOI

Direction for this package

Depending on the real world usefulness, practicality and success, we plan to include complete or parts of this package in the Microbiome R package. "Leo Lahti, Sudarshan Shetty et al. (Bioconductor, 2017). Tools for microbiome analysis in R.

The microbiome R package relies on the independently developed phyloseq package and data structures for R-based microbiome analysis developed by Paul McMurdie and Susan Holmes. ggplot2 H. Wickham. ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York, 2009. tidyverse packages.

Microbiome package website with step-wise tutorials: URL:

Tutorials Microbiome R package tutorials Open and reproducible spring school 2018 * Tools Microbiome Anlaysis

More useful resources:

  1. Ben J. Callahan and Colleagues: Bioconductor Workflow for Microbiome Data Analysis: from raw reads to community analyses.
  2. Comeau AM and Colleagues: Microbiome Helper: a Custom and Streamlined Workflow for Microbiome Research
  3. MicrobiomeHD A standardized database of human gut microbiome studies in health and disease Case-Control
  4. Rhea A pipeline with modular R scripts
  5. Phyloseq Import, share, and analyze microbiome census data using R

About the Author


  1. Callahan, B. J., McMurdie, P. J. & Holmes, S. P. (2017). Exact sequence variants should replace operational taxonomic units in marker gene data analysis. bioRxiv, 113597.
  2. Callahan, B. J., McMurdie, P. J., Rosen, M. J., Han, A. W., Johnson, A. J. A. & Holmes, S. P. (2016). DADA2: high-resolution sample inference from Illumina amplicon data. Nature methods 13, 581-583.
  3. Caporaso, J. G., Kuczynski, J., Stombaugh, J., Bittinger, K., Bushman, F. D., Costello, E. K., Fierer, N., Peña, A. G., Goodrich, J. K. & Gordon, J. I. (2010). QIIME allows analysis of high-throughput community sequencing data. Nature methods 7, 335-336.
  4. Schloss, P. D., Westcott, S. L., Ryabin, T., Hall, J. R., Hartmann, M., Hollister, E. B., Lesniewski, R. A., Oakley, B. B., Parks, D. H. & Robinson, C. J. (2009). Introducing mothur: open-source, platform-independent, community-supported software for describing and comparing microbial communities. Applied and environmental microbiology 75, 7537-7541. Team, R. C. (2000). R language definition. Vienna, Austria: R foundation for statistical computing.

Datasets from:

NOTE: The aim of this package is not to replace any of the other tools mentioned on this site. Instead this package is useful for a quick and (not so) dirty analysis of the OTU tables/biom files generated by tools such as QIIME (the newer QIIME2) (Caporaso, Kuczynski, Stombaugh et al., 2010), Mothur (Schloss, Westcott, Ryabin et al., 2009), DADA2 (Callahan, McMurdie, Rosen et al., 2016). Using the HTML report as a reference for more thorough analysis.

microsud/microbiomeutilities documentation built on Feb. 5, 2020, 11:19 p.m.