Our technology is based on the reconstruction of digital organisms: mathematical representations of the complex molecular networks of living organisms at the genome-scale. Genome-scale models are appreciated for the global vision they give of the cell, and the ease with which omics data (especially transcriptomics and metabolomics) can be exploited to further improve the model predictions.
We developed an in-house modelling platform which combines our database of digital organisms, with our innovative algorithms and our expert manual curation. It allows us to generate a high-quality digital organism in a short timeframe from DNA sequences and other omics datasets.
We use these models in our simulation platform with a creative analysis toolbox based on systems biology and biostatistics. It allows us to extract the most from our customers experimental data and provide valuable biological insights.
Our bioinformatics analysis platform is suitable for any area of biology. Our experienced team of biological engineers ground their analyses on causal mechanisms explaining the relationship between genotypes, phenotypes, and the environment. This makes our predictions particularly appealing for experimentalist teams wishing to grasp the state of their biological system, and eventually to act on it.