From 16S rDNA-seq count data to microbial interactions: a comprehensive benchmark of co-occurrence network inference methods

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Piero Mariotto, matteo baldan, Barbara Di Camillo, Giacomo Baruzzo
DOI: 10.5281/zenodo.18482664
Cited by: 0

Abstract

This archive contains the full results and Singularity containers related to the paper "From 16S rDNA-seq count data to microbial interactions: a comprehensive benchmark of co-occurrence network inference methods", Mariotto et. al.

Fields of Study & Subjects

Bioinformatics and Genomic Networks Microbial Community Ecology and Physiology Gut microbiota and health

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
4 February 2026
Language
EN
Document type
Dataset