International Work-conference on the Interplay between Natural and Artificial Computation

IWINAC2017: Pre-Organized Session:

S02. Natural Computing in Bioinformatics

Bioinformatics is nowadays an ample area of research, development and application of computational tools and approaches for expanding the use of biological, medical, behavioral or health data, including those to acquire, store, organize, archive, analyze, or visualize such data. Many different aspects of research in bioinformatics are populated by researchers who use different natural computing algorithms in their search of problem solutions. The session will provide a meeting point for IWINAC attendees and researchers who have a current or developing interest in bioinformatics problems.

Topics areas include (but are not restricted to):

• Genome and sequence analysis with nature-inspired approaches.
• DNA chips data analysis and genetic variations search.
• Biological network modeling and analysis.
• Use of natural computing algorithms in protein structure prediction (secondary and tertiary).
• Use of natural computing for determining protein classification and protein function.
• Use of artificial life models like cellular automata or Lindenmayer systems for modeling biological processes.
• Data handling and visualization strategies of genomic ad proteomic data.
• Multi-objective approaches in bioinformatics applications.
• Parallel implementations (Threads, MPI, OpenMP, GPUs or FPGAs) in bioinformatics applications.

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Last update: October 2012. webmaster@iwinac.org