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The 2006 World Congress in Computer Science
Computer Engineering, and Applied Computing
L   a   s     V   e  g  a  s,    N  e  v  a  d  a,    U  S  A   
(  J  u  n  e    2  6  -  2  9,    2  0  0  6 )

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BIOCOMP'06: Scope

Last modified 2007-11-17 10:00

    Topics of interest include, but are not limited to, the following:

      • Gene Networks: Theory and Application
      • Software environments for bioinformatics
      • Software tools for computational biology
      • RNA and DNA structure and sequencing
      • Gene identification
      • Gene expression databases
      • Gene pattern discovery
      • Genetic network modeling and inference
      • Gene regulation
      • Gene expression analysis
      • Molecular dynamics and simulation
      • Molecular sequence classification, alignment and assembly
      • Molecular sequence databases
      • Molecular structure databases
      • Image processing in medicine and biological sciences
      • Sequence analysis and alignment
      • Cheminformatics
      • Comparative genomics
      • Protein modeling
      • Molecular interactions
      • Metabolic modeling and pathways
      • Biomedical engineering
      • Biomedical electronics
      • Mathematical biology
      • Microarrays
      • Evolution and phylogenetics
      • Macromolecular structure prediction
      • Proteomics
      • Protein folding and fold recognition
      • Medical informatics
      • Epidemic models
      • Biological data mining
      • Knowledge discovery
      • Pattern classification and recognition
      • Graph theory and bioinformatics
      • Structural and functional genomics
      • Hidden Markov Model techniques
      • Amino acid sequencing
      • Stochastic modeling
      • Bio-ontologies
      • Computational drug discovery
      • Biological databases and information retrieval
      • Biological data visualization
      • Biological data integration
      • Evolution of regulatory genomic sequences
      • Experimental studies and results
      • Applications
      • Application of computational intelligence (artificial neural networks, fuzzy logic, and evolutionary computing) in medicine and biological sciences.
      • High-performance computing as applied to natural and medical sciences
      • Computer-based medical systems (automation in medicine, ...)
      • Other aspects and applications relating to technological advancements in medicine and biological sciences.
Academic Co-Sponsors

MIT Media Laboratory

Texas Advanced Computing Center
The University of Texas at Austin
Other Co-Sponsors

One Laptop Per Child (OLPC)
Media Co-Sponsors


Hodges' Health

Charter Cable Internet Access

 

Administered by
Universal Conference Management Systems & Support (UCMSS)
San Diego, California, USA

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