Center for microbial ecology and technology, Ghent University
CMET is specialized in the study and application of mixed microbial communities
Faculty of Bioscience engineering, Coupure Links 653, 9000 Gent (Belgium)
Pinned Repositories
Beterams-et-al.-2021
CMETNGS
Some convenience functions used in CMETs automated reporting pipeline for microbial amplicon sequencing
Dhaenens-et-al.-2021
R Code used in the manuscript: Characterization of the endometrial and vaginal microbiome in patients with repeated implantation failure and fertile women: a cross-sectional study.
FCMvsRaman
Characterizing phenotypic heterogeneity using flow cytometry and Raman spectroscopy
Garcia-Timermans_et_al_2023
Accompanying code to Garcia-Timermans et al 2023
HOB_Enrichment
Repository for data analyses scripts of Hu et al. (2019)
Kerckhof_Sakarika_et_al_2021
Accompanying code to Kerckhof & Sakarika 2021
MicroRaman
MicroRaman is an R package to process microbial Raman Spectroscopy data
Phenoflow_package
R package offering functionality for the advanced analysis of microbial flow cytometry data
PhenoGMM
Repository accompanying the paper "PhenoGMM: Gaussian mixture modelling of microbial cytometry data enables efficient predictions of biodiversity".
Center for microbial ecology and technology, Ghent University's Repositories
CMET-UGent/Phenoflow_package
R package offering functionality for the advanced analysis of microbial flow cytometry data
CMET-UGent/MicroRaman
MicroRaman is an R package to process microbial Raman Spectroscopy data
CMET-UGent/CMETNGS
Some convenience functions used in CMETs automated reporting pipeline for microbial amplicon sequencing
CMET-UGent/FCMvsRaman
Characterizing phenotypic heterogeneity using flow cytometry and Raman spectroscopy
CMET-UGent/Beterams-et-al.-2021
CMET-UGent/Dhaenens-et-al.-2021
R Code used in the manuscript: Characterization of the endometrial and vaginal microbiome in patients with repeated implantation failure and fertile women: a cross-sectional study.
CMET-UGent/Garcia-Timermans_et_al_2023
Accompanying code to Garcia-Timermans et al 2023
CMET-UGent/HOB_Enrichment
Repository for data analyses scripts of Hu et al. (2019)
CMET-UGent/Kerckhof_Sakarika_et_al_2021
Accompanying code to Kerckhof & Sakarika 2021
CMET-UGent/PhenoGMM
Repository accompanying the paper "PhenoGMM: Gaussian mixture modelling of microbial cytometry data enables efficient predictions of biodiversity".
CMET-UGent/Phylogeny_ElectroAutotrophs
Underlying code for the bio-informatics of Prévoteau et al. (2020)
CMET-UGent/Raman_PhenoDiv
Raman spectroscopy-based measurements of single-cell phenotypic diversity in microbial communities
CMET-UGent/RamanMP
Repository for data analysis García-Timermans et al (2020b)
CMET-UGent/Sakarika-Kerckhof-et-al-2023
Accompanying code to Sakarika, Kerckhof et al. 2023 - "Growth rate and limiting substrate define the nutritional composition and cell size of microbial biomass for food applications " (in prep)