Computational Biology and Systems Biomedicine



TFBM

Group leader

PhD Marcos J. Araúzo-Bravo

IIS Biodonostia
Ikerbasque Research Professor

marcos.arauzo@biodonostia.org

Team


  • Daniela Gerovska, Postdoctoral researcher
  • Shira Knafo, Ikerbasque Professor
  • Itziar Frades, Postdoctoral researcher
  • Mikel Arrospide Elgarresta, PhD student
  • Alex Martínez Ascensión, PhD student
  • Javier Cabau Laporta, PhD student
  • Olga Ibañez Sole, PhD student
  • Julen Bohoyo Bengoetxea, PhD student
  • Alex Arrieta Legorburu, PhD student
  • Patricia Férnandez Moreno, PhD student
  • Aitor Zabala Garcia, PhD student
  • Coloma Álvarez De Eulate López, PhD student


  • Research subjects


    In our laboratory we develop computer tools to help understand the mechanism underlying genetic regulatory networks of the toti-, pluripotential stem cells and reprogrammed cells. We are implementing an integrative approach to elucidate the cross-talk of the main pluripotency players on the molecular level, and to provide answers to the remaining questions concerning the reprogramming mechanisms. The approach is based on collecting measurements of different nature (gene expression, microRNA expression, epigenetic profiles, protein abundance, metabolic measurements) performed in a holistic way using high-throughput techniques. We combine our own measurements with data compiled from databases.

    Among the topics we are currently researching are:

    • An initio prediction of transcription factors binding motifs.
    • DNA recognition by combinatorial rules of transcription factors.
    • DNA recognition by drugs.
    • Prediction of DNA methylation motifs.
    • Development of computational tools for meta analysis of transcriptomics data.
    • Development of computational tools for processing of Next Generation Sequencing data.
    • Development of computational tools for processing of single cell omics data.
    • Development of computational tools for processing of circular DNA data.
    • Development of computational tools for processing of circular RNA data.
    • Development of Artificial Intelligence algorithms for analysis of clinical images.
    • Development of Artificial Intelligence algorithms for analysis of clinical data.

    Some current projects


    European Union's Horizon 2020 research and innovation programme

    4D Healing Circular Vision IPerGlio
    ERACoSysMed: Systems medicine in clinical research & medical practice. FET: Future & Emerging Technologies. ERAPerMed: European Partnership on Personalised Medicine (EP PerMed).