Title: mOTUs v2 database

Description: Database for the marker gene-based OTU (mOTU) profiler. The mOTUs profiler is a computational tool that estimates relative abundance of known and currently unknown microbial community members using metagenomic shotgun sequencing data.

Year: 2021

DOI: 10.5281/zenodo.5140350

Responsible PI: S. Sunagawa (ETHZ)

Research article: Microbial abundance, activity and population genomic profiling with mOTUs2

Title: Soil Community Growth and Diversity Simulations under Low and High Connectivity Conditions (version MATLAB 2016a)

Description: MATLAB community simulations, MATLAB imaging script, and MATLAB dataset

Year: 2021

DOI: 10.5281/zenodo.5140350

Responsible PI: J. R. van der Meer (UNIL)

Research article: Environmental Connectivity Controls Diversity in Soil Microbial Communities.”

Title: 16S rRNA amplicon sequencing raw data underlying Dubey et al., 2021

Description: 16S rRNA amplicon sequencing raw data

Year: 2021

Permanent identifier: NCBI Short Read Archive –  PRJNA661487

Responsible PI: J. R. van der Meer (UNIL)

Research article: Environmental Connectivity Controls Diversity in Soil Microbial Communities

Title: CellCognize: a neural network pipeline for cell type classification from flow cytometry data

Description: Flow cytometry data; neural network data; 16S sequencing data

Year: 2020

DOI: 10.5281/zenodo.3822094

Responsible PI: J. R. van der Meer (UNIL)

Research article: Rapid detection of microbiota cell type diversity using machine-learned classification of flow cytometry data