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Bioinformatics Overview

Bioinformatics Overview. Bioinformatics is the application of information technology to the management of biological data. Bioinformaticians understand biological problems and computational solutions to produce useful tools. Bioinformatics Outline. Molecular Biology Data Searches

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Bioinformatics Overview

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  1. Bioinformatics Overview • Bioinformatics is the application of information technology to the management of biological data. • Bioinformaticians understand biological problems and computational solutions to produce useful tools.

  2. Bioinformatics Outline • Molecular Biology • Data Searches • Substitution Patterns • Phylogenetics • Genomics • Protein and DNA StructurePrediction • Proteomics

  3. Bioinformatics Outline • Perl • Bioinformatics tools

  4. Molecular Biology • Genetic material • Gene structure • Protein structure • Molecular biology tools • Genomic information

  5. Data Searches • Dot plots • Alignments • Scoring matrices • Dynamic programming • Global and local alignments • Multiple sequence alignments • Database searches

  6. Substitution Patterns • Patterns of substitutions with Genes • Substitution numbers • Variations in Evolutionary rates • Molecular clocks

  7. Phylogenetics • Molecular phylogenetics • Phylogenetic trees • Distance matrix methods • Maximum likelihood approaches • Multiple sequence alignments

  8. Phylogenetics • Parsimony • Inferred ancestral sequences • Faster searches • Consensus trees • Tree confidence • Molecular phylogenies

  9. Genomics • Prokaryotic genomes • Prokaryotic gene structure • GC content • Prokaryotic gene density

  10. Genomics • Eukaryotic gene structure • Open reading frames • GC content • Gene expression • Transposition • Eukaryotic gene density

  11. Protein and DNA StructurePrediction • Amino acids • Polypeptide composition • Secondary structure • Tertiary and quaternary structure • Modeling protein folding • Structure prediction

  12. Proteomics • Protein classification • Experimental techniques • Inhibitors and drug design • Empirical methods • NMR structure • Post-translational modification prediction

  13. Perl for Bioinformatics • Getting started with Perl • Sequences and strings • Mutation and randomization • Genetic code

  14. Bioinformatics Tools • equence analysis, pairwise alignment, and database searching • Multiple sequence alignments • Visualizing pattern structures • Prediction protein structure and function from sequence • Genomics and proteomics

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