mSystems
(Jun 2021)
METAnnotatorX2: a Comprehensive Tool for Deep and Shallow Metagenomic Data Set Analyses
Christian Milani,
Gabriele Andrea Lugli,
Federico Fontana,
Leonardo Mancabelli,
Giulia Alessandri,
Giulia Longhi,
Rosaria Anzalone,
Alice Viappiani,
Francesca Turroni,
Douwe van Sinderen,
Marco Ventura
Affiliations
Christian Milani
ORCiD Laboratory of Probiogenomics, Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, Parma, Italy
Gabriele Andrea Lugli
Laboratory of Probiogenomics, Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, Parma, Italy
Federico Fontana
Laboratory of Probiogenomics, Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, Parma, Italy
Leonardo Mancabelli
Laboratory of Probiogenomics, Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, Parma, Italy
Giulia Alessandri
Laboratory of Probiogenomics, Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, Parma, Italy
Giulia Longhi
Laboratory of Probiogenomics, Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, Parma, Italy
Rosaria Anzalone
GenProbio srl, Parma, Italy
Alice Viappiani
GenProbio srl, Parma, Italy
Francesca Turroni
ORCiD Laboratory of Probiogenomics, Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, Parma, Italy
Douwe van Sinderen
ORCiD APC Microbiome Ireland and School of Microbiology, Bioscience Institute, National University of Ireland, Cork, Ireland
Marco Ventura
ORCiD Laboratory of Probiogenomics, Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, Parma, Italy
DOI
https://doi.org/10.1128/mSystems.00583-21
Journal volume & issue
Vol. 6,
no. 3
Abstract
Read online
We developed a novel tool, i.e., METAnnotatorX2, that includes a number of new advanced features for analysis of deep and shallow metagenomic data sets and is accompanied by (regularly updated) customized databases for archaea, bacteria, fungi, protists, and viruses. Both software and databases were developed so as to maximize sensitivity and specificity while including support for shallow metagenomic data sets.
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