Bioinformatics

The unit is composed of UMA researchers who are dedicated full or part-time to research in bioinformatics, including but not limited to biomedical applications.

  • Objectives
  • Services
  • Members
  • Provide access to IBIMA’s high performance computing resources.
  • Advise on the use of high performance resources from design methodology, implementation thereof and analysis of results.
  • Provide training and outreach seminars in bioinformatics.
  • Develop specific applications to address specific problems posed by IBIMA and external researchers.

Management and Data Integration comprising the following procedures

  • Management of Data Repositories. Design, refactoring and managing Databases.
  • Data publication (relational, CSV) in standard formats and linked to Public BD reference.
  • Data Integration.
    • Clinical Data integration.
    • Integration of Clinical Data with public baseline Data on association networks between genes, diseases, symptoms and drugs.
  • Interoperability of health IS based on the OpenEHR, CEN 13606, HL7 standards.
  • Prediction and modeling of networks and systems of molecular interactions: genes, proteins and drugs.

Data analysis comprising the following procedures

  • Advanced analysis of clinical data using data mining techniques
    • Advanced patient clustering
    • Association rules between data of patients and their diseases or syndromes.
    • Detection and prediction of events (eg detection of adverse events in hospital treatments).
  • Gene expression analysis.
  • Analysis of scientific texts (for biomedical research) and automatic extraction of information from scientific texts.
  • Automatic annotation of medical records.
    • Notes regarding medical terminologies with domain ontologies, ICD-10 and SNOMED can be made.
    • Information can be added regarding public baseline data on association networks between genes, diseases, symptoms and drugs.
    • Data on NGS scoring can be included (for personalized medicine) using existing tools (Annovar, GATK).
  • Exploitation of partnership networks in the prediction of new molecular targets and disease associations.

Clinical Information Systems comprising the following procedures

  • Development of bioinformatics tools via the web.
  • Design of information systems in the clinical setting.
  • José Aldana Montes
  • Jose Manuel Jerez Aragonés
  • Juan Antonio García Ranea
  • M. Gonzalo Claros Díaz