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Lecturing topics include:bioinformatics definitions, terminology, tools, resources, biological bases, algorithms in bioinformatics,clustering methods, adaptive neuro fuzzy systems, micro array analysis and experiment, sequence analysis, analysis and alignment of DNA sequences, phylogenetic tree, genom, genetic algorithms in bioinformatics, proteomics, prediction of protein structures.
Laboratory exercise include: background of statistics, NCBI  microarray, genetic algorithm and analysis, protein analysis, analysis and visualization of 3D structures, phylogenetics distance sequences,
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