[BioC] Many ways to skin a cat: The malaria microarray data set

[Simon Lin]

Hope the following information is useful for people on this mailing list!
This workshop will focus on re-analyzing of the malaria array data set from
DeRisi lab. -Simon

Day 1
Presenter 1: Joseph Beyene, Chromosomal Clustering of Periodically Expressed
Genes in Plasmodium Falciparum

Presenter 2: Rudy Guerra, Spatial Correlation of Expression in P.falciparum

Presenter 3: Aidan Peterson, Linking Gene Expression Patterns and
Transcription Regulation in Plasmodium Falciparum

Presenter 4: Giri Narasimhan, Mining Regulatory Elements in the Plasmodium
falciparum Genome Using Gene Expression Data


Presenter 5: Earl Glynn, Searching for Periodic Gene Expression Patterns
Using Lomb-Scargle  Periodograms

Presenter 6: Ivanno Azzini, Simple Methods for Peak Detection in Time Series
Microarray Data

Day 2:
Presenter 1: Raya Khanin, Construction of Malaria Gene Expression Network
Using Partial Correlations

Presenter 2: Hernando del Portillo, A New Annotation Tool for Malaria Based
on Inference of Probabilistic Genetic Networks

Presenter 3: Jay Snoddy, Detecting Network Motifs in Gene Co-expression
Networks

Presenter 4: Galina Glazko, The Use of Generalized Expression Profiles for
Prediction of Proteins Related to Merozoite Invasion

Presenter 5: Rudy Guerra, Oxidative Stress Genes in Plasmodium falciparum as
Indicated by Temporal Gene Expression

Presenter 6: Hongyu Zhao, Identifying Stage Specific Genes by Combining
Information from Two Types of Oligonucleotide Arrays

Info at

www.camda.duke.edu/camda04



=================================================
  Simon M. Lin, M.D.
  Manager, Duke Bioinformatics Shared Resource
  Assistant Research Professor, Biostatistics and Bioinformatics
  Box 3958, Duke University Medical Center
  Rm 286 Hanes, Trent Dr, Durham, NC 27710
  Ph: (919) 681-9646 FAX: (919) 681-8028
  Lin00025 (at) mc.duke.edu
  http://dbsr.duke.edu