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

Embed Size (px)

Citation preview

  • Slide 1
  • Bioinformatics BIO520 Chuck Staben Tom Badgett
  • Slide 2
  • Louis XV After me, the deluge
  • Slide 3
  • Bioinformatics-what is it? Acquisition, curation, and analysis of biological data Hypothesis
  • Slide 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
  • Slide 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
  • Slide 6
  • Class Project Fermentation-Respiration Shift in Yeast Transcription analysis Control sequences Transcription/Translation/Metabolism Correlation Evolutionary Conservation Applications to Drug Discovery
  • Slide 7
  • Computer Resources WWW materials www.uky.edu/Classes/BIO520/BIO520WWW/ e-mail listserv: [email protected] newsgroup: news.uky.edu/uky.classes.bio520 NetMeeting SeqWeb www.seqanal.mi.uky.edu Seqanal seqanal.mi.uky.edu (telnet)
  • Slide 8
  • Information Science Dramatic Changes Information Storage Digitized databases: text, numbers, images Computerized Analysis Facile Information Distribution WWW, e-mail,...
  • Slide 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
  • Slide 10
  • DNA Sequence
  • Slide 11
  • Transcript Analyses Northern Blot-1977Genomic transcript profiling DeRisi, Iyer, Brown; Science, 1998
  • Slide 12
  • Protein Structure Determination
  • Slide 13
  • Genome/Trait Maps
  • Slide 14
  • Protein Expression Analysis 1978-1998
  • Slide 15
  • Metabolic Networks KEGG, 1998
  • Slide 16
  • Regulatory Networks KEGG
  • Slide 17
  • Bioinformatic Challenges Acquire, store, share, search data Analyze data Interpret analyses Design further analyses to produce high-value information Apply results of analyses
  • Slide 18
  • Biological Principles Structure Function Homeostasis Evolution by natural selection
  • Slide 19
  • Biological Hierarchies Molecule Cell Tissue Organ Organism Population Species Biosphere