Publications

benchdamic: benchmarking of differential abundance methods for microbiome data  (2023)

Authors:
Calgaro, Matteo; Romualdi, Chiara; Risso, Davide; Vitulo, Nicola
Title:
benchdamic: benchmarking of differential abundance methods for microbiome data
Year:
2023
Type of item:
Articolo in Rivista
Tipologia ANVUR:
Articolo su rivista
Language:
Inglese
Referee:
No
Name of journal:
BIOINFORMATICS
ISSN of journal:
1367-4803
Page numbers:
1-3
Keyword:
differential abundance, bioconductor, metagenomics, metabarcoding, biostatistics
Short description of contents:
A 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.
Product ID:
131494
Handle IRIS:
11562/1081999
Last Modified:
January 30, 2025
Bibliographic citation:
Calgaro, Matteo; Romualdi, Chiara; Risso, Davide; Vitulo, Nicola, benchdamic: benchmarking of differential abundance methods for microbiome data «BIOINFORMATICS»2023pp. 1-3

Consulta la scheda completa presente nel repository istituzionale della Ricerca di Ateneo IRIS

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