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Bioinformatics BIO520 Chuck Staben Tom Badgett. Louis XV After me, the deluge.

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Presentation on theme: "Bioinformatics BIO520 Chuck Staben Tom Badgett. Louis XV After me, the deluge."— Presentation transcript:

1 Bioinformatics BIO520 Chuck Staben Tom Badgett

2 Louis XV After me, the deluge

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

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

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 Science Dramatic Changes Information Storage –Digitized databases: text, numbers, images Computerized Analysis –Facile Information Distribution –WWW, e-mail,...

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

10 DNA Sequence

11 Transcript Analyses Northern Blot-1977Genomic transcript profiling 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 Biological Hierarchies Molecule Cell Tissue Organ Organism Population Species Biosphere


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