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This is the course web page for BTRY 484/684, "Computational Genomics" (Fall 2007).

Please check this page frequently throughout the semester. It will continually be updated with information you will need. Keep in mind that the schedules for lectures and homeworks are provisional.

Contents

Announcements

  • Homework #5 has been posted (10/30)
  • Homework #4 has been posted (10/15)
  • Guidelines and ideas for the class project have been posted (10/14)
  • The lecture schedule for the remainder of the class has been revised (10/14)
  • The midterms have been graded and will be returned on Tues 10/16. Still working on homework #3. (10/14)

General Information

  • Lectures: Tues/Thurs, 11:40-12:55, Bradfield 105
  • Recitations: Thurs, 1:25-2:15, Plant Science 143
  • Credit Hours: 4 (S/U or letter)
  • Professor: Adam Siepel, 101 Biotech
  • Office Hours: Tues, 4:30-5:30

Resources

Books

  • Primary textbook:
    • Durbin R, Eddy SR, Krogh A, and Mitchison G [DEKM], Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids, Cambridge University Press, 1998 (10th printing, 2006).
  • Auxiliary bioinformatics books:
    • Felsenstein J [F], Inferring Phylogenies, Sinauer Associates, Inc., 2004.
    • Jones NC, Pevzner PA [JP], An Introduction to Bioinformatics Algorithms, MIT Press, 2004.
    • Deonier RC, Tavare S, Waterman MS [DTW], Computational Genome Analysis: An Introduction, Springer, 2005.
    • Ewens WJ, Grant G [EG], Statistical Methods in Bioinformatics: An Introduction, Springer, 2005.
  • Recommended reference books:
    • Hogg RV, Craig AT [HC], Introduction to Mathematical Statistics. Prentice Hall, 1995.
    • Casella G, Berger RL [CB], Statistical Inference. Duxbury Press, 2001.
    • Cormen TH, Leiserson CE, Rivest RL, Stein C [CLRS], Introduction to Algorithms. MIT Press, 2001.
    • Watson JD, Baker TA, Bell SP, Gann A, Levine M, Losick R [MBG], Molecular Biology of the Gene. CSHL Press, 2004.

Online tutorials

Here is a small collection of possibly useful online tutorials on genomics and bioinformatics. Please email me if you find others that are particularly useful.

Lecture Schedule

Date Readings Topics Slides
Aug 23 MBG or similar as needed Course introduction. Molecular biology background. PDF
Aug 28 DEKM ch 1, pp 300-314; DTW ch 2&3; HC, CB or similar as needed Probability and statistics background. PDF
Aug 30 More on statistics. PDF
Sep 4 J&P ch 2 Intro to algorithms. PDF
Sep 6 DEKM ch 2; JP ch 5 or CLRS ch 15 Dynamic programming and sequence alignment. PDF
Sep 11 DEKM pp 320-322; Wasserman & Sandelin review article More on alignment; motif models. PDF
Sep 13 Information theory and motif models PDF
Sep 18 DEKM pp 46-58; Supplementary: Eddy Rabiner Hidden Markov models. PDF
Sep 20 DEKM pp 58-61, 68-79 More on HMMs. PDF
Sep 25 DEKM pp 160-165, 173-176, 192-202; F ch 1&2, pp 196-206, 248-255 Phylogenetic models. PDF
Sep 27 DEKM pp 202 More on phylogenetic models. PDF
Oct 2 Jordan ch 2; See also this review General graphical models. PDF
Oct 4 Jordan ch 3&4 More on graphical models. PDF
Oct 9 Happy Fall Break!
Oct 11 midterm
Oct 16 Jordan ch 4&9 More on graphical models PDF
Oct 18 DEKM pp 323-325, Jordan ch 9-10 Expectation maximization (EM). PDF
Oct 23 DEKM pp 63-66 EM for HMMs and motif models PDF
Oct 25 Guest lecture by Tomas Vinar. Applied gene finding. PDF
Oct 30 DEKM pp 314-319, 154-159 Introduction to MCMC. PDF
Nov 1 Jordan ch 21 Gibbs sampling and use in motif finding. PDF
Nov 6 DEKM section 2.5; Brown et al. review Guest lecture by Brona Brejova. Hash-based alignment. PDF
Nov 8 DEKM ch 4 Statistical pairwise alignment PDF
Nov 13 Guest lecture by Carolin Kosiol. Codon models and tests for positive selection PDF
Nov 15 DEKM ch 9 & 10 Stochastic context-free grammars and RNA structure prediction. PDF
Nov 20 DEKM ch 6 Multiple alignment. PDF
Nov 22 Happy Thanksgiving!
Nov 27 DEKM pp 165-172,189-191; F ch 11 Phylogeny reconstruction. PDF
Nov 29 Phylo-HMM review Applied comparative genomics. PDF

Homework Schedule

Homework Date Assigned Date Due Topics Data
HW#1 Aug 24 Sep 7 Probability and statistics warm up
HW#2 Sep 7 Sep 21 Dynamic programming and sequence alignment sequences.fa
HW#3 Sep 21 Oct 5 Motif models, HMMs sequence.fa
HW#4 Oct 15 Oct 29 Phylogenetic models apoe.fa
HW#5 Oct 30 Nov 12 EM and Gibbs sampling
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