School of Computer Science
Tel Aviv University
March 2001 

Computational Analysis of Gene Networks

Instructor: Prof. Ron Shamir

Seminar Syllabus and Schedule

The seminar will concentrate on algorithmic problems in Gene Network analysis. The developments in these research areas are closely tied to novel ``DNA chips'' technologies.

Key references: Marshall and Hodgeson (98) and "The Chipping Forecast" (99) give overviews of chip technology with an emphasis on the companies and products. The web page http://www.math.tau.ac.il/~rshamir/algmb/algmb00.html contains my lecture notes from the course “Algorithms in Molecular Biology” and includes basic references on computational biology.

In certain biological papers the algorithmic details are given only in references to earlier papers. The speaker should trace back to find the details of the algorithms, and include them in his/her talk.

 

No
Date
Speaker
Papers
Comments

1

Mar. 4

Ron Shamir
Introduction and background
2
Mar. 11
Ron Shamir
Somogyi-Sniegoski 96;Ideker et al., 00
Background review
Experiment design – information theoretic
3
Mar. 18
Iddo Yellin
Akutsu et al., 98
Basic upper and lower bounds
4
Mar. 25
Ofra Pavlovitz
Akutsu et al, 99
Probabilistic analysis
5
April 1
No class
------
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6
April 15
No class
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7
April 29
Haoch Rahimi
Akutsu et al 00
Quantitative model
8
May 6
Skiena et al., 99
Network reconstruction – combinatorial analysis
?
May 13 
Yuval Inbar 
Friedman et al, 00
Reconstruction of relations – Bayesian analysis
9
May 20
Vladimir Kushnir
Skiena et al 01
Analysis of time series data
10
May 27
Shavuot
11
June 3
Adi Akavia
Karp et al., 99
Experiment design - combinatorial
12
June 10
Amos Tanay
Tanay Shamir 01
 Genesys
-

Backup

Friedman et al 01
Bayesian analysis (2)
- Backup - Zien et al, 00 Matching a gene network to metabolic pathways
-
Backup
Somogyi et al 98
REVEAL
-
Backup
Akutsu et al, RECOMB 2000
Improved bound via matrix multiplication, quantitative model
NOTE: Dates are tentative and can change with short notice . Updates will be announced in class.