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)

Labs

LAB #

SOLUTIONS

SUPPORTING FILES

Lab 1: Sequence Analysis (PDF)

(PDF)

readme (TXT)

ovary_AD_public (TXT)

ovary_AD_public (ZIP)

ov_bkgr_info_pub (XLS)

ov_ge_all_puc_de (ZIP) (ZIP contains ov_ge_all_puc_de.xls a 3.5MB XLS file)

Lab 2: Expression Theme-Based Lab (PDF)

(PDF)

 

Lab 3: Proteomics and Systems Theme-Based
Lab (PDF)

(PDF)