Preface

#> working directory clean

This manuscript was rendered from commit 9c86fbcc416ebe9d18d2e80120064bea4c346f36.

This in-progress manuscript is not intended for general scientific use. It is incomplete, has not been carefully reviewed, and may contain mistakes or other inaccuracies. Please post comments or questions on the GitHub Issues page or email Mike.

This manuscript addresses the effect that the taxonomic bias inherent in microbiome measurement has on microbial differential-abundance analysis. We describe the basic problem posed by taxonomic bias for measuring changes in the abundance of particular taxa across conditions and describe new strategies for mitigating the errors it induces. Analyses of both relative and absolute abundances are considered. The manuscript is licensed under a CC BY 4.0 License. See the Zenodo record for how to cite the latest version. Supporting data analyses can be found in the accompanying computational research notebook.

  1. Massachusetts Institute of Technology; send correspondence to ↩︎

  2. Dalhousie University↩︎

  3. University of Washington↩︎

  4. University of Tennessee↩︎

  5. North Carolina State University↩︎