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Computational Functional Genomics >> Content Detail



Lecture Notes



Lecture Notes

Lec #TOPICSLECTURER
Part 1: Using DNA Sequence to Explain Mechanism
1Course Introduction (PDF)David Gifford
2Pairwise Alignment (PDF)David Gifford
3Finding Regulatory Sequences in DNA: Motif Discovery (PDF)Tommi Jaakkola
4Finding Regulatory Sequences in DNA: Motif Discovery (cont.) (PDF)Tommi Jaakkola
Part 2: Observing the Mechanism of Transcriptional Regulation
5Microarray Technology (PDF)David Gifford
6Expression Arrays, Normalization, and Error Models (PDF)Tommi Jaakkola
7Expression Profiles, Clustering, and Latent Processes (PDF)Tommi Jaakkola
8Computational Functional Genomics (PDF)David Gifford
9Stem Cells and Transcriptional RegulationDavid Gifford
10Part One: An Example of Clustering Expression Data (PDF)

Part Two: Computational Functional Genomics (cont.) (PDF)
David Gifford
11Project Group Meetings
12Project Group Initial PresentationsStudents
13Computational Discovery of Regulatory Networks (PDF - 2.3 MB) (Courtesy of Georg Gerber. Used with permission.)Georg Gerber (Guest Lecturer)
14RNA Silencing (PDF)David Bartel (Guest Lecturer)
Part 3: Building Predictive Network Models of Transcriptional Regulation
15Computational Functional Genomics (cont.) (PDF)David Gifford
16Human Regulatory Networks (PDF)David Gifford
17Protein NetworksDavid Gifford
18Causal Models (PDF)Tommi Jaakkola
19Causal Bayesian Networks, Active Learning (PDF)Tommi Jaakkola
20From Biological Data to Biological Insight (PDF)Nir Friedman (Guest Lecturer)
21Modeling Transcriptional Regulation (PDF)Tommi Jaakkola
22DynamicsDavid Gifford

 








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