Database providing access to the High Technology Network's industrial research offering: research competences, type of analyses and tests available at the Laboratories. Companies can consult the Catalogue to find Laboratories and researchers that match their needs.
Competence
Acquisition and pre-processing of signals for model identification
Anioxidant action
Automation of bioinformatic pipelines
Batch sysntesis for animal studies
Continuous-time and discrete-time mathematical modeling of systems and processes
Data processing
Design of new drugs with computational techniques
Discrete events mathematical modeling of systems and processes
Drug study on animal embrional stem cells cells
Drug study on cells of the human nervous system
Drug study on human and animal fibroblasts
Drug study on human and animal perycites
Drug study on human endothelial cells
Evaluation of the chemical stability
Evaluation of the stability of a molecule in the plasma
Evaluation of the stbility of a molecul to the oxidative methabolism
Farmacogenomics
Finite element simulation (FEM)
Formal languages for systems modeling (Unified Modeling Language-UML and SysML-System Modeling Language)
Gene Network reconstruction
Identification and validation of biomarkers
Identification of models and parameters estimation
Infinite-dimensional mathematical modeling of systems
Integrative analisi of gene expression data and data from meta-analysis
Integrative analysis of Copy Number Variation data and Gene Exprtession
Integrative analysis of Gene expression and clinical data
Meta-analysis
Modeling of the collision of bodies in mechanical systems
Molecular Cytogenetics (CGH, CMA)
Next generation sequencing (NGS)
Non-parametric modeling (neural networks, etc.)
Pharmacokinetics of new compounds
Physico-chemical characterisation of new compounds
Prediction of effect of sequence variants on mRNA splicing
Preprocessing and sample storage (biobanking)
Production and characterisation of therapeutical antibodies
Proteomics
Quality assessment
Sample processing
Simulation for discrete events models