Translational and integrative Bioinformatics

Next generation sequencing and sequence analysis
  • De novo sequencing, re-sequencing and assembly

  • Expression estimation

  • Alternative splicing discovery

  • Pathway Analysis

  • Chip-seq and RNA-Seq analysis

  • Metagenomics

  • SNPs prediction

High performance in Bioinformatics
  • Parallelization for biomedical analysis.

  • Biomedical and biological databases.

  • Data mining and biological text processing.

  • Large scale biomedical data integration.

  • Biological and medical ontologies.

  • Novel architecture and technologies (GPU, P2P, Grid,...) for Bioinformatics.

Computational systems for modelling biological processes
  • Inference of biological networks.

  • Machine learning in Bioinformatics.

  • Classification for biomedical data.

  • Microarray Data Analysis.

  • Simulation and visualization of biological systems.

  • Molecular evolution and phylogenetic modelling.

Computational proteomics
  • Analysis of protein-protein interactions

  • Protein structure modelling

  • Analysis of protein functionality

  • Quantitative proteomics and PTMs

  • Clinical proteomics

  • Protein annotation

  • Data mining in proteomics

Biomedicine and Biomedical Engineering
  • Personalized medicine

  • Biomedical signal/image analysis

  • Computer-assisted surgery

  • Therapeutic engineering

  • Interactive 3D modelling

  • Clinical engineering

  • Telemedicine

  • Biosensors and data acquisition

  • Patient Monitoring

  • Biomedical robotics

  • Bio-nanotechnology

  • Genetic engineering

Healthcare and diseases
  • Computational support for clinical decisions

  • Image visualization and signal analysis

  • Disease control and diagnosis

  • Genome-phenome analysis

  • Biomarker identification

  • Drug design

  • Computational immunology

  • A special session will be organized in which different aspects, fields of application and technologies that have been applied against COVID-19 are analyzed