Biodonostia Health Research Institute

Address Dr. Beguiristain, s/n.
20014 Donostia-San Sebastián,
Gipuzkoa, Spain
Platforms ATMP & Biological, Biomarkers, Vaccines

Biodonostia HRI, national and international centre of reference in the field of health research, giving priority to promoting translational research and firmly backing innovation in medical and health technologies, which lead to improvements in health care while also generating wealth for the country by converting inventions into products.

Institutes' Omics Technologies

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Contact

Facility Genomics Facility
Head of the facility
  • Ana Gorostidi

Expertise

Technologies
  • SangerSequencing
  • NGS-other
  • Genotyping
  • qPCR
  • Droplet Digital PCR (ddPCR)
Purposes
  • Research
  • Service
Applications
  • Biomarkers discovery and development
  • Diagnostics and personalised disease profiling
  • Disease processes research
  • Microbial Genomics
  • Therapeutic development

Features

Collaboration with industry where the institute collaborated with Genomics expertise (in the last 5 years) <10
Certifications
  • ISO 9001

Track record

Key opinion leaders
  • Dr. Charles Lawrie (GWAS, expression, microRNA)
  • Dr. David Otaegui (Expression, microRNA, circRNA, systems biology,RNAseq)
  • Dr. Marcos Arauzo (Expression, Methylation, DNAseq, RNAseq, GWAS)
  • Dr. Koldo García (SNPS, GWAS)

DATA ANALYSIS for

  • Genomics
  • Omics data integration / systems biology
  • Structural Bioinformatics

DATA INTERPRETATION for

  • Genomics
  • Omics data integration / systems biology
  • Structural Bioinformatics

DATA SUBMISSION in to public database

STATISTICS

  • Molecular profiling (omics and others)
  • Expertise in clinical design of experiments, clinical statistics
  • Metadata (patient/sample information)
  • Methods and policies for information infrastructure, including privacy and security

BIOINFORMATICS

  • Gene annotation
  • Expression profiling with omics, microarray and others (e.g. PCR) for RNAseq, microRNA, other RNA species
  • Methylation profiling with NGS
  • Data integration (“Systems biology”)
  • Genetic analysis for Structural variation detection (Genome, Exome)
  • Semantic analysis (“Bibliome analysis”, text mining)
  • Development of new algorithms, e.g. new decision algorithms, new sequence aligners for NGS data, etc.

OMICS INTEGRATION METHODS

Published tools – Cytoscape, R, Matlab, Python