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The Australian National University
CBiS - The Centre for Bioinformation Science
Bioinformatics at the ANU
 

CBiS Gene Expression Analysis Group ("Microarray group")

CBiS people involved in the Microarray Group are: Sue Wilson, Yvonne Pittelkow, John Maindonald and Stéphanie Bolot.

Areas of expertise, experience, collaboration and research are:

  • Statistical design of gene expression experiments, including microarray and GeneChip experiments
  • Image processing
  • Data analysis, and software tools for data analysis.

We aim for the highest standards of understanding and expertise in all relevant areas. We work with other local, national and international groups in pursuit of this aim.

 

Publications

Maindonald, John H, Pittelkow, Yvonne E., Wilson, Susan R. (2002) "Some considerations for the design of microarray experiments." Science and Statistics: A Festschrift for Terry Speed, Darlene R. Goldstein (Ed) Institute of Mathematical Statistics Lecture Notes - Monograph series 40, pp 367-390. [pdf]

Yvonne E. Pittelkow and Susan R. Wilson (2003) "Visualisation of Gene Expression Data – the GE-biplot, the Chip-plot and the Gene-plot", Statistical Applications in Genetics and Molecular Biology: Vol. 2: No. 1, Article 6.
http://www.bepress.com/sagmb/vol2/iss1/art6

Pittelkow Y.E, Wilson S.R (2003) "The GE-biplot for Microarray data" 2003 Proceedings of the Virtual Conference on Genomics and Bionformatics, http://www.virtualgenomics.org/proceedings_2003.htm

Software

Software for the GE-Biplot and the Bootstrap Principal Components Analysis of chip stability may be downloaded from our software page.

 

Collaborating Partners

Biomolecular Resource Facility: http://jcsmr.anu.edu.au/group_pages/brf/

Garvan Insititute: http://www.garvan.org.au/

 

Useful Links

The microarry group uses the statistics package R: http://cran.r-project.org/ 

The Bioconductor project supplies R with biological tools: http://biowww.dfci.harvard.edu/~bioconductor/

A collection of R packages useful for microarray analysis: http://www.statistik.lmu.de/~strimmer/notes/rexpress.html

A set of links and resources includin g public data sets: http://industry.ebi.ac.uk/~alan/MicroArray/

A bibliography of microarray papers http://www.nslij-genetics.org/microarray/