<p>Benchdamic: benchmarking of differential abundance methods on microbiome data</p>

Matteo Calgaro; Chiara Romualdi; Davide Risso; Nicola Vitulo

doi:10.7490/f1000research.1118854.1

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Calgaro M, Romualdi C, Risso D and Vitulo N. Benchdamic: benchmarking of differential abundance methods on microbiome data [version 1; not peer reviewed]. F1000Research 2021, 10(ISCB Comm J):1188 (poster) (https://doi.org/10.7490/f1000research.1118854.1)

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Benchdamic: benchmarking of differential abundance methods on microbiome data

Matteo Calgaro¹, Chiara Romualdi, Davide Risso, Nicola Vitulo

Published 24 Nov 2021 (https://doi.org/10.7490/f1000research.1118854.1)

Author Affiliations

¹ University of Verona, Italy

Copyright © 2021 Calgaro M et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 24 Nov 2021

Benchdamic: benchmarking of differential abundance methods on microbiome data
[version 1; not peer reviewed]

Matteo Calgaro¹, Chiara Romualdi, Davide Risso, Nicola Vitulo

Author Affiliations

¹ University of Verona, Italy

Presented at

Bioinformatics and Computational Biology Conference 2021

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Differential abundance, metagenomics, metabarcoding, microbiome, benchmark, R package, Bioconductor

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