Bioinformatics BIO520 Chuck Staben Tom Badgett

Louis XV After me, the deluge

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

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

BIO520 Syllabus Content –Lectures –Lab Exercises: sessions or NetMeetings –Reading – –UKTV (16): Sat, Sun 4-5 PM Expectations Grading –Assignments, Hour Exam, Project

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

Computer Resources WWW materials – –listserv: –newsgroup: news.uky.edu/uky.classes.bio520 –NetMeeting SeqWeb – Seqanal –seqanal.mi.uky.edu (telnet)

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

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

DNA Sequence

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

Protein Structure Determination

Genome/Trait Maps

Protein Expression Analysis

Metabolic Networks KEGG, 1998

Regulatory Networks KEGG

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

Biological Principles Structure  Function Homeostasis Evolution by natural selection

Biological Hierarchies Molecule Cell Tissue Organ Organism Population Species Biosphere