CIBCB Special Session on Parallel and distributed high performance computing solutions for computational intelligence methods

Aims

Computational intelligence is frequently exploited to devise efficient heuristics to solve problems in Bioinformatics, Computational Biology and Systems Biology. However, these approaches are computationally challenging as they might require excessively burdensome execution times in the case of real-world problems, therefore limiting their applicability. The scope of this special session is to bring together researchers involved in the development of computational intelligence methods specifically accelerated either by means of conventional architectures (e.g., computer clusters, GRID computing) or by unconventional technologies (e.g., Graphics Processing Units, Many Integrated Core coprocessors, biomimetic devices).

Scope and Topics

Topics of interest include, but are not limited to:

  • analysis and visualization of large datasets
  • analysis and visualization of genome-wide models
  • biomedical model parameterization
  • development of synthetic biological devices
  • drug design
  • emergent properties in complex biological systems
  • flux balance analysis
  • gene expression array analysis
  • high-throughput data analysis
  • high efficiency algorithms for solving biological problems
  • medical image analysis
  • medical imaging and pattern recognition
  • metabolic pathway analysis
  • mining of biomedical data
  • modelling, simulation and optimization of biological systems
  • molecular dynamics and molecular docking
  • molecular evolution and phylogenetics
  • molecular sequence alignment and analysis
  • prediction and searching of molecular structure and folding
  • spectral analysis