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

COVID-19

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