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Bioinformatics and Proteomics >> Content Detail



Lecture Notes



Lecture Notes

Any number of software tools can be used to import the .dat files in this section. MATLAB® software is required to run the .m files in this section.

SES #TOPICSLECTURE NOTES
1Introduction

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)
2Abstraction Level 1: Sequence

Review of Modern Biology II

Sequence Analysis: Motif and Regulation
(PDF - 1.5 MB)
3Abstraction Level 1: Sequence

Sequence Analysis: Genes and Genome

Sequence Analysis: Gene Evolution
4Abstraction Level 2: Expression

Microarray Expression Data Analysis

Machine Learning: Bayesian Methodologies
5Abstraction Level 2: Expression

Bioinformatics in the Biotech Industry

Abstraction Level 4: Systems/Misc

Control and Feedback in Systems
6Abstraction Level 4: Systems/Misc

Scale-free Networks I

Scale-free Networks II
7Abstraction Level 3: Proteomics

Statistical Models and Stochastic Processes in Proteomics

Signal Processing for Proteomics
(PDF - 1.6 MB)
8Abstraction 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)


 








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