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Bioinformatics BIO520

Bioinformatics BIO520. Chuck Staben Tom Badgett. Louis XV. After me, the deluge. Hypothesis. Bioinformatics-what is it?. DATA. Acquisition, curation, and analysis of biological data. INFORMATION. KNOWLEDGE. Life Scientists Professional Graduate Undergraduate

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Bioinformatics BIO520

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  1. BioinformaticsBIO520 Chuck Staben Tom Badgett

  2. Louis XV After me, the deluge

  3. Hypothesis Bioinformatics-what is it? DATA Acquisition, curation, and analysis of biological data INFORMATION KNOWLEDGE

  4. Life Scientists Professional Graduate Undergraduate Medical professionals Pre-med undergrads Information scientists Computer scientists Library/database specialists Statisticians Mathematicians Bioinformatics trainingWho needs it?

  5. BIO520 Syllabus • Content • Lectures • Lab Exercises: sessions or NetMeetings • Reading • www.uky.edu/Classes/BIO520/BIO520WWW/ • UKTV (16): Sat, Sun 4-5 PM • Expectations • Grading • Assignments, Hour Exam, Project

  6. Class Project Fermentation-Respiration Shift in Yeast • Transcription analysis • Control sequences • Transcription/Translation/Metabolism Correlation • Evolutionary Conservation • Applications to Drug Discovery

  7. Computer Resources • WWW materials • www.uky.edu/Classes/BIO520/BIO520WWW/ • e-mail • listserv: BIO520@lsv.uky.edu • newsgroup: news.uky.edu/uky.classes.bio520 • NetMeeting • SeqWeb • www.seqanal.mi.uky.edu • Seqanal • seqanal.mi.uky.edu (telnet)

  8. Information ScienceDramatic Changes • Information Storage • Digitized databases: text, numbers, images • Computerized Analysis • Facile • Information Distribution • WWW, e-mail, ...

  9. DNA sequence Gene expression Protein expression Protein Structure Genome mapping Metabolic networks Regulatory networks Trait mapping Gene function analysis Scientific Literature Bioinformatic Data-1978 to 1998

  10. DNA Sequence

  11. Northern Blot-1977 Genomic transcript profiling Transcript Analyses DeRisi, Iyer, Brown; Science, 1998

  12. Protein Structure Determination

  13. Genome/Trait Maps

  14. Protein Expression Analysis 1978-1998

  15. Metabolic Networks KEGG, 1998

  16. Regulatory Networks KEGG

  17. Bioinformatic Challenges • Acquire, store, share, search data Analyze data • Interpret analyses • Design further analyses to produce high-value information • Apply results of analyses

  18. Biological Principles StructureFunction Homeostasis Evolution by natural selection

  19. Molecule Cell Tissue Organ Organism Population Species Biosphere Biological Hierarchies

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