Nicola Vitulo

University of Verona
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Italy

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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

ITALY

roberto bassi

full professor

Università degli Studi di Torino

ITALY

Salvatore Fusco

Assistant Professor (Tenure-Track)

Università degli Studi di Torino

ITALY

Antonella FURINI

University of Verona

ITALY

Chiara Romualdi

University of Padua

ITALY

Sara Zenoni

University of Verona

ITALY

Wilson José Fernandes Lemos Junior

University of Verona

ITALY

Sandra Torriani

Full Professor

University of Verona

ITALY

Drago Lorenzo

Associate Professor - Med Lab and Clinical Microbiology

University of Milan, School of Medicine

ITALY

Michele Piazza

University of Verona

ITALY

Evelien Adriaenssens

Quadram Institute Bioscience

UNITED KINGDOM

GIORGIO VALLE

Full professor

University of Padova

ITALY

Luca Dall'Osto

Full Professor in Plant Physiology

University of Verona

ITALY
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