Dataset index
Title: mOTUs v2 database
Year: 2021
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
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