Your project may need a specific analysis workflow beyond the specific services we designed for Agriculture, Industrial biotech and Academic research. You will find below a non-exhaustive showcase of model reconstructions and analyses we can pick from to build a custom data analysis workflow. Our team of modelling experts remains at your disposal to discuss your project in detail.
Reconstruction of high-quality genome-scale models of metabolism (GEMs) or regulatory networks to unlock the understanding of living cells.
Predict your pathway properties from enzyme characteristics (rate laws) and metabolites pool sizes.
Regulatory network inference
Inference of regulatory relationships between genes and proteins using omics data.
Omics data analysis
Highlight meaningful information within transcriptomics, proteomics, metabolomics, fluxomics or phenomics processed datasets with data science approaches.
Genome Wide Associations Studies
Identification of the genetic control for phenotypes of interest.
Predict the genetic value of individuals based on their genotypes, whether they are phenotyped or not.
Genome assembly and annotation
Processing of genomic raw data: genome assembly (prokaryotes, eucaryotes), structural and functional annotation, comparative analysis, etc.
Semi-Rational design using structural information to optimise proteins.
Identification of candidate genes likely involved in your pathway of interest.
De novo pathway design
New-to-nature pathways with retrosynthesis techniques.
Management of your genomic data collection with a web interface to query and visualise your metadata. Possibility to manage a PathwayTools (MetaCyc-like) database.
Metabolic visualisation tool
Pathway maps and data dashboards to explore the metabolic features of your organisms.