CS 167/290D – Introduction to Bioinformatics - Fall 2008
Prerequisites:
Undergraduate/graduate course in algorithms and statistics or
instructor’s permission
Lectures: MW 11-1 pm, Phelps
1401
Office Hours: T 2-4 pm, HFH Rm.
3119, email: ambuj@cs.ucsb.edu
Enrollment Code: 57125
(167), 08367 (290D)
Units: 4.0, letter grade
ONLY
Reference material:
1. Biological sequence analysis:
probabilistic models of proteins and nucleic acids, Richard Durbin et al.,
Cambridge University Press.
2. Fundamental Concepts
of Bioinformatics, D.E. Krane and M.L. Raymer, Pearson Education.
3. Bioinformatics: Sequence
and genome analysis, D. Mount, Cold Spring Harbor Laboratory Press.
4. Algorithms on strings,
trees, and sequences, D. Gusfield, Cambridge University Press.
5. Genes IX, B. Lewin, Oxford University
Press.
6. Statistical Methods in
Bioinformatics: An Introduction (Statistics for Biology and Health), W. J.
Ewens and G. Grant, Springer.
Course Material:
Course flyer
Lecture outline
External websites:
Human Genome Primer
Public Human Genome Project
Publication In Nature 15 February 2001
Commercial Human
Genome Sequence Published in Science 16 February 2001
NCBI Resources
SWISS-PROT
PDB
ISCB
Conferences and journals:
·
Bioinformatics
·
Journal of computational
biology
·
Briefings in bioinformatics
·
Nucleic Acids Research
·
Genome research
·
RECOMB
(available from ACM digital library)
·
ISMB
(available through Bioinformatics journal)
Class satisfies the following two areas for MS students: Applications,
Foundations.