Nicola Vitulo
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Articles (15)
benchdamic: benchmarking of differential abundance methods for microbiome data
Summary Recently, an increasing number of methodological approaches have been proposed to tackle the complexity of metagenomics and microbiome data. In this scenario, reproducibility and replicability have become two critical issues, and the development of computational frameworks for the comparative evaluations of such methods is of utmost importance. Here, we present benchdamic, a Bioconductor package to benchmark methods for the identification of differentially abundant taxa. Availability and implementation benchdamic is available as an open-source R package through the Bioconductor project at https://bioconductor.org/packages/benchdamic/. Supplementary information Supplementary data are available at Bioinformatics online.
Year:
2022
Collaborators (13)
Giovanni DalCorso
University of Verona
roberto bassi
full professor
Università degli Studi di Torino
Salvatore Fusco
Assistant Professor (Tenure-Track)
Università degli Studi di Torino
Antonella FURINI
University of Verona
Chiara Romualdi
University of Padua
Sara Zenoni
University of Verona
Wilson José Fernandes Lemos Junior
University of Verona
Sandra Torriani
Full Professor
University of Verona
Drago Lorenzo
Associate Professor - Med Lab and Clinical Microbiology
University of Milan, School of Medicine
Michele Piazza
University of Verona
Evelien Adriaenssens
Quadram Institute Bioscience
GIORGIO VALLE
Full professor
University of Padova
Luca Dall'Osto
Full Professor in Plant Physiology
University of Verona

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