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The 2007 World Congress in Computer Science,
Computer Engineering, & Applied Computing
Las Vegas, Nevada, USA (June 25-28, 2007)
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BIOCOMP'07: Topics

Last modified 2007-11-17 06:47

    Topics of interest include, but are not limited to, the following:
    • Software environments for bioinformatics
    • RNA and DNA structure and sequencing
    • Gene regulation
    • Gene expression databases
    • Gene pattern discovery
    • Gene identification
    • Genetic network modeling and inference
    • Gene expression analysis
    • Biomedical electronics
    • Biomedical engineering
    • Mathematical biology
    • Graph theory and bioinformatics
    • Microarrays
    • 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
    • Informatics and Statistics in Biopharmaceutical Research
    • Software tools for computational biology
    • Comparative genomics
    • Protein modeling
    • Molecular interactions
    • Metabolic modeling and pathways
    • 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
    • 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 in medicine and biological sciences (artificial neural networks, fuzzy logic, and evolutionary computing).
    • 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.


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