Introduction to Statistical and Computational Genomics

Course Number: 
GENOME 559
Course Type: 
Keystone
Currently Offered: 
Yes
Credits: 
3
Quarter: 
Winter
Location: 
UW
Instructor (MCB Faculty): 
Borenstein, Elhanan
Instructor (MCB Faculty): 
Thomas, James
Course Description: 

Rudiments of statistical and computational genomics. Emphasis on basic probability and statistics, introduction to computer programming and relevant web databases. This course is intended to introduce students with non-computer science backgrounds to the major concepts of programming and statistics.

Prerequisites: 
substantial background in molecular and cellular biology, genetics, biochemistry, or related disciplines.

Course web site: http://elbo.gs.washington.edu/courses/GS_559_14_wi/index.html

Sample Schedule:

Week Tues Thurs
  1 Overview of course. Introduction to sequence comparison. BLAST, alignment scoring Sequence alignment - dynamic programming
  2 Sequence alignment - local alignment Sequence alignment - protein score matrices
  3 Sequence alignment - signficance of similarity scores Signficance of similarity scores continued
  4 Whole genome alignments Sequence trees - distance trees
  5 Parsimony Small parsimony
  6 Gene ontology and functional enrichment Gene set enrichment analysis
  7 Gene expression: Clustering Gene expression: K-mean clustering
  8 Biological networks; Dijkstra algorithm Gene prediction
  9 Degree distribution and network motifs Recursion
 10 Project Final Exam
 
Areas of Interest: 
Genetics, Genomics & Evolution
Areas of Interest: 
Molecular Structure & Computational Biology
Methods Area: 
Gene Expression, Cell Cycle & Chromosome Biology