Statistical Genomic PFUG webpage

 

 

 

Topics:  The focus of this PFUG will be more on statistical aspects of Bioinformatics and genomics.  This semester we will concentrate on theoretical and technical issues of dealing with microarray data. 

 

 

Participants

 
 
Dr. Marek Kimmel                                               kimmel@rice.edu
Dr. Rudy Guerra                                                   rguerra@rice.edu
Daniel Chang                                                        thechang@rice.edu

Joseph Vavra                                                       jvavra@rice.edu

Viacheslav Fofanov                                               vfofanov@rice.edu
Blair Christian                                                       blairc@rice.edu

Garret Fox                                                           gfox@rice.edu

David Rossell                                                       rusi@rice.edu

ZhaoXia Yu                                                          yu@rice.edu

Galen Papkov                                                       gpapkov@rice.edu

Deepa Rajan                                                        drajan@rice.edu

 

 

Schedule

 

Tuesday 5:30 – 6:30 pm at Martel 103

 

Topics

 

Thur, Jan 29:    Organizational meeting

Tues, Feb 3:     Arrays: Biological background by Ezgi Okyay

Tues, Feb 10:   Basic Genetics

Tues, Feb 17:   Cancelled

Tues, Feb 24:   Arrays: Basic data analysis procedures by Ezgi Okyay

Tues, Mar 2:     Spring Break

Tues, Mar 9:     Differential Expression (theory) by Dr. Rudy Guerra

Tues, Mar 16:   Differential Expression (practice) by Viacheslav Fofanov

Tues, Mar 23:   PFUG Project

Tues, Mar 30:   Classification/Discrimination by ZhaoXia Yu

Tues, Apr 6:     Multiple Testing in microarrays by Dr. Rudy Guerra and David Rossell

Tues, Apr 13:   Gene networks and arrays by Blair Christian

Tues, Apr 20:   Population genetics and Coalescence

Tues, Apr 27:   Population genetics and Coalescence

 

Events/Seminars on Campus

 

Mar, 12:           A genomic database for gene expression. By Dr. Joe Warren

                        Keck Seminar series

Mar, 19:           Discovering function in proteins and proteomes, by Dr. Douglas Brutlag

                        Keck Seminar series

 

Suggested Reading

 

Molecular Biology made simple and fun” by David P. Clark and Lonnie D. Russell is a very comprehensive overview of molecular biology for people in Statistical and Computer Science fields.

 

Relevant books covering microarrays

 

“Discovering genomics, proteomics & bioinformatics”, by Campbell & Heyer.  ISBN  0805347224

“The analysis of gene expression data”.  by Parminiani et. al.  ISBN  0387955771

“Microarray gene expression data analysis: A beginner’s guide”, by Causton et. al.  ISBN  1405106824

Microarray Gene Expression Data Analysis” by Quakenbush. ISBN 1405106824

“Statistical Analysis of Gene Expression Microarray Data”, by T. P. Speed.  ISBN  1584883278

 

Useful Links

 

Array animation

MDA Genomics

P Brown Array Data

Discovering Genomics, Proteomics, and Bioinformatics

Collection of Microarray related papers

 

 

 

This page was last updated 3/29/2004

by Viacheslav Fofanov