Quantitative metagenomics

Whole Genome Sequencing

Analysing and modeling complex microbiome diversity and composition

Our team ensures optimal data quality and cost efficiency. An expertise in bioinformatics and statistics with recognized and innovative data mining of multivariate and heterogeneous datasets.

We can generate data through our ISO9001 sequencing platform or you can provide your own !

The high-throughput DNA sequencing of bacteria living in the digestive tract enables the stratification of individuals and the characterization of their microbiome.

Mathieu Almeida - Scientific director of Metaquant

A high processing capacity in constant evolution

10,000

samples sequenced and analysed per year
3,000,000

GB of data storage
1,000 cores

High Performance Computing facility

A whole metagenome sequencing

High resolution microbiome analysis with Metagenomic Species Pan-genomes (MSPs)

Integrated pipeline of high throuput sequencing and high resolution metagenomic profiles of intestinal samples

Capture core genes and accessory genes of microbial species, methode published in Bioinformatics (2019)

UPDATED MSP FREE ACCESS

Strain-level characterization of microbial community, inter-individual variability and functional annotation of the microbiome

Shotgun and shallow metagenomics powered by our strong sequencing, bioinformatics and scientists team

Uncovering microbiome diversity

Gene and species catalogues for various microbiomes

De-novo construction of gene catalogues

Identification, annotation and profiling of metagenomic pangenome species

Mapping of human or animal microbiome that has not been explored yet

Concrete applications for human health in the medical and nutritional fields

Identify biomarkers associated with dysbiosis : microbiome signatures used as a diagnostic or prognostic tools

Investigate the impact of prebiotics, probiotics, drugs, functional food on the gut microbiome : modulation of the taxonomic & functional composition

Stratification of individuals for personalized medicine : responders and non-responders individuals (microbiome composition at baseline)

Our reference publications in Quantitative metagenomics

2010 : Qin et al. Nature, The human gut reference catalogue
2011 : Arumugam et al. Nature, Enterotypes
2012 : Qin et al. Nature, Type II Diabetes
2013 : Cotillard et al. Nature, Impact of diet on gut microbiome
2013 : Le Chatelier et al. Nature, Richness of gut microbes and metabolic markers
2014 : Nielsen et al. Nature Biotech, Method for identifying metagenomic species
2014 : Li et al. Nature Biotech, 10 millions genes reference catalog
2014 : Qin et al. Nature, Human gut microbiome alterations in liver cirrhosis
2016 : Pedersen et al. Nature, Microbiome and insuline resistance
2018 : Gopalakrishnan et al. Science, Microbiome and melanoma cancer immunotherapy
2018 : Routy et al. Science, Microbiome and epithelial cancer immunotherapy
2018 : Ruppé et al. Nature Microbiology, Prediction of the intestinal resistome
2019 : Plaza Onate et al. Bioinformatics, Abundance-based reconstitution of microbial pan-genomes
2020 : Cox et al. Gastroenterology, Low FODMAP diet and gut mcirobiome
2020 : Meslier et al. Gut, Beneficial effects of a Mediterranean diet in overweight and obese subjects

All publications

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