15
staff
6.77 M
funding*
35
projects & contracts*
*data from the last 5 years
Research
Projects
Publications
  • Ovalle, J.C.; Vilas, C.; Antelo, L.T. (2022) On the use of deep learning for fish species recognition and quantification on board fishing vessels Marine Policy DOI:10.1016/j.marpol.2022.105015
  • Pedreira, A.; Vázquez, J.A.; García, M.R. (2022) Kinetics of Bacterial Adaptation, Growth, and Death at Didecyldimethylammonium Chloride sub-MIC Concentrations Frontiers in Microbiology DOI:10.3389/fmicb.2022.758237
  • González, P.; Osorio, R.R.; Pardo, X.C.; Banga, J.R.; Doallo, R. (2022) An efficient ant colony optimization framework for HPC environments Applied Soft Computing Journal DOI:10.1016/j.asoc.2021.108058
  • Otero-Muras I; Banga JR (2021) Synthetic Gene Circuit Analysis and Optimization " Computational Methods in Synthetic Biology" Humana Press / Springer ISBN:978-1-0716-0822-7
  • Otero-Muras I; Banga JR (2021) Automated Biocircuit Design with SYNBADm " Synthetic Gene Circuits" Springer ISBN:978-1-0716-1031-2
Theses
  • TFM - Andrea Arribas Jimeno (26/09/2022) Aplicabilidad de la tecnología de imágenes hiperespectrales (HSI) como método no invasivo para la evaluación de la calidad del pescado UNIVERSIDAD DE SANTIAGO DE COMPOSTELA
  • TFM - Artai Rodríguez Moimenta (19/07/2020) Desarrollo de un modelo de corte mecanístico que permita describir un proceso de fermentación mixta Universidad de Vigo (UVigo)
  • TFG - Laura Honrubia Baamonde (11/07/2019) Optimization of Benzalkonium Chloride treatment in the disinfection of L. Monocytogenes in the Food Industry UNIVERSIDAD DE LLEIDA
  • TFM - Pablo de la Torre Fernández (20/09/2018) Modelado del proceso de fermenatición vínica: co-cultivo de especies no convencionales Universidade da Coruña
  • PhD - Alejandro López Núñez (18/07/2018) CONTRIBUTIONS TO MATHEMATICAL MODELLING AND NUMERICAL SIMULATION OF BIOFILMS UdC
Innovation
Contracts
Capabilities
Products
  • Prototype | Morbidostat: Unraveling Antimicrobial Resistance

    Morbidostat is a computer-controlled continuous culture device that automatically adjusts drug concentration to maintain constant growth inhibition in microbial cultures. As bacteria acquire mutations that give them resistance against drugs, they are able to tolerate higher drug concentrations and grow faster, thus removing selective pressure, the driving force of evolution. To compensate for this, morbidostat increases drug concentration sufficiently to keep bacteria at their original growth rate, therefore maintaining selective pressure over time. This system allows for data acquisition to model microbial evolution under antimicrobial stress, optimize biocide dosage strategies and develop highly antimicrobial-resistant strains used to test the performance of new biocides, among other applications.

     

  • Software | GenSSI: toolbox for structural identifiability analysis of biological models

    GenSSI is a toolbox that requires MATLAB and Symbolic Math Toolbox. It offers a technique for studying structural identifiability using iterative Lie derivatives and identifiability tableaus.

    More information here,

  • Software | saCeSS: a parallel global optimization library

    The saCeSS library allows solving non-linear programming (NLP) and mixed-integer non-linear programming (MINLP) problems. It also offers efficient local solvers for nonlinear parameter estimation problems associated with complex models (e.g. those described by differential equations).

    More information here.

     

  • Software | SensSB: toolbox for the development and Sensitivity analysis of Systems Biology models

    Authors: M. Rodríguez-Fernández and J. R. Banga

    Description: SensSB is an easy-to-use Matlab®-based sensitivity analysis software toolbox. This tool integrates a variety of local and global sensitivity methods that can be applied to biological models described by ordinary differential equations (ODEs) or differential algebraic equations (DAEs). SensSB is also able to import models in the Systems Biology Mark-up Language (SBML) format.

    Available here upon request.

Team

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