Lec # | TOPICS | LECTURER | KEY DATES |
---|---|---|---|
Part 1: Using DNA Sequence to Explain Mechanism | |||
1 | Course Introduction | David Gifford | |
2 | Pairwise Alignment | David Gifford | |
3 | Finding Regulatory Sequences in DNA: Motif Discovery | Tommi Jaakkola | |
4 | Finding Regulatory Sequences in DNA: Motif Discovery (cont.) | Tommi Jaakkola | Problem set 1 due |
Part 2: Observing the Mechanism of Transcriptional Regulation | |||
5 | Microarray Technology | David Gifford | |
6 | Expression Arrays, Normalization, and Error Models | Tommi Jaakkola | |
7 | Expression Profiles, Clustering, and Latent Processes | Tommi Jaakkola | Problem set 2 due |
8 | Computational Functional Genomics | David Gifford | |
9 | Stem Cells and Transcriptional Regulation | David Gifford | |
10 |
Part One: An Example of Clustering Expression Data
Part Two: Computational Functional Genomics (cont.) |
David Gifford | Problem set 3 due |
11 | Project Group Meetings | ||
12 | Project Group Initial Presentations | Students | |
13 | Computational Discovery of Regulatory Networks | Georg Gerber (Guest Lecturer) | |
14 | RNA Silencing | David Bartel (Guest Lecturer) | |
Part 3: Building Predictive Network Models of Transcriptional Regulation | |||
15 | Computational Functional Genomics (cont.) | David Gifford | |
16 | Human Regulatory Networks | David Gifford | |
17 | Protein Networks | David Gifford | |
18 | Causal Models | Tommi Jaakkola | |
19 | Causal Bayesian Networks, Active Learning | Tommi Jaakkola | |
20 | From Biological Data to Biological Insight | Nir Friedman (Guest Lecturer) | |
21 | Modeling Transcriptional Regulation | Tommi Jaakkola | |
22 | Dynamics | David Gifford | Problem set 4 due |
Calendar
Course Info
Instructors
Departments
As Taught In
Spring
2005
Level
Learning Resource Types
notes
Lecture Notes
group_work
Projects with Examples