Title: mOTUs v2 database

Year: 2021

DOI: 10.5281/zenodo.5140350

Responsible PI: S. Sunagawa (ETHZ)


Notes: 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.

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

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

Year: 2020

DOI: 10.5281/zenodo.3822094

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

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

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