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Bioinformatics: Bridging Biology and Technology for Data Management

Bioinformatics applies IT to manage biological data, producing valuable tools for biological problems. Explore molecular biology, genomics, protein structure prediction, and more.

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Bioinformatics: Bridging Biology and Technology for Data Management

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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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