Understanding the drivers of microbial diversity is an important
frontier of microbial ecology, and investigating the diversity of
samples from microbial ecosystems is a common step in any microbiome
analysis.
breakaway is the premier package for statistical analysis of microbial
diversity. breakaway implements the latest and greatest estimates of
richness, as well as the most commonly used estimates.
DivNet is a package by the
breakaway authors for estimating Shannon diversity, and other
diversity indices. breakaway focuses on richness while DivNet
focuses on Shannon, Simpson, and other alpha diversities as well as some
beta diversity indices. Check it out!
Citing breakaway
The R package breakaway implements a number of different richness
estimates. Please cite the following if you use them:
breakaway() and kemp(): Willis, A. & Bunge, J. (2015).
Estimating diversity via frequency ratios. Biometrics.
betta(): Willis, A., Bunge, J., & Whitman, T. (2017). Improved
detection of changes in species richness in high diversity microbial
communities. JRSS-C.
breakaway_nof1(): Willis, A. (2016+). Species richness estimation
with high diversity but spurious singletons. arXiv.
objective_bayes_*(): Barger, K. & Bunge, J. (2010). Objective
Bayesian estimation for the number of species. Bayesian Analysis.
breakaway is actively maintained and continually expanding and
developing its scope! Is there a method you would like to have
implemented in breakaway? Submit a pull request or contact the
maintainer!
Do you have a request for us? Let us know! We want folks to use
breakaway and are committed to making it as easy to use as possible.
Do you have a question? Check out the above documentation list, then
shoot us an email or open a
Discussion. We receive
a lot of emails from users, so we try to answer questions on the Wiki
rather than responding to everyone individually.
breakaway
Understanding the drivers of microbial diversity is an important frontier of microbial ecology, and investigating the diversity of samples from microbial ecosystems is a common step in any microbiome analysis.
breakawayis the premier package for statistical analysis of microbial diversity.breakawayimplements the latest and greatest estimates of richness, as well as the most commonly used estimates.DivNetis a package by thebreakawayauthors for estimating Shannon diversity, and other diversity indices.breakawayfocuses on richness whileDivNetfocuses on Shannon, Simpson, and other alpha diversities as well as some beta diversity indices. Check it out!Citing breakaway
The
Rpackagebreakawayimplements a number of different richness estimates. Please cite the following if you use them:breakaway()andkemp(): Willis, A. & Bunge, J. (2015). Estimating diversity via frequency ratios. Biometrics.betta(): Willis, A., Bunge, J., & Whitman, T. (2017). Improved detection of changes in species richness in high diversity microbial communities. JRSS-C.breakaway_nof1(): Willis, A. (2016+). Species richness estimation with high diversity but spurious singletons. arXiv.objective_bayes_*(): Barger, K. & Bunge, J. (2010). Objective Bayesian estimation for the number of species. Bayesian Analysis.Installation
You can install
breakawayfrom github by running:breakawayis actively maintained and continually expanding and developing its scope! Is there a method you would like to have implemented in breakaway? Submit a pull request or contact the maintainer!Documentation
Humans
Maintainer: Amy Willis
Authors: Amy Willis, John Bunge, Bryan Martin, Pauline Trinh, Kathryn Barger, David Clausen and Sarah Teichman.
Do you have a request for us? Let us know! We want folks to use
breakawayand are committed to making it as easy to use as possible.Do you have a question? Check out the above documentation list, then shoot us an email or open a Discussion. We receive a lot of emails from users, so we try to answer questions on the Wiki rather than responding to everyone individually.