Bioinformatics and Proteomics

Lecture Notes

SES #	TOPICS	LECTURE NOTES
1	Introduction Course Introduction, Review of Modern Biology I Abstraction Level 1: Sequence   Introduction to Bioinformatics Laboratory / Bioinformatics in the Computer Industry	(PDF - 1.8 MB) Supporting Files clusterdata.dat (DAT) clusterexample.m (M)
2	Abstraction Level 1: Sequence Review of Modern Biology II Sequence Analysis: Motif and Regulation	(PDF - 1.5 MB)
3	Abstraction Level 1: Sequence Sequence Analysis: Genes and Genome Sequence Analysis: Gene Evolution
4	Abstraction Level 2: Expression   Microarray Expression Data Analysis Machine Learning: Bayesian Methodologies
5	Abstraction Level 2: Expression Bioinformatics in the Biotech Industry Abstraction Level 4: Systems/Misc Control and Feedback in Systems
6	Abstraction Level 4: Systems/Misc Scale-free Networks I Scale-free Networks II
7	Abstraction Level 3: Proteomics Statistical Models and Stochastic Processes in Proteomics Signal Processing for Proteomics	(PDF - 1.6 MB)
8	Abstraction Level 3: Proteomics   Biological Methods, Automation, Robotics Conclusion Project Discussion and Wrap-up	(PDF 1 of 2 - 2.5 MB) (PDF 2 of 2 - 1.5 MB)