Chromosomal patterns of gene expression from microarray data: methodology, validation and clinical relevance in gliomas

doi:10.1186/1471-2105-7-526

BMC Bioinformatics

Volume 7

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Turkheimer FE
Roncaroli F
Hennuy B
Herens C
Nguyen M
Martin D
Evrard A
Bours V
Boniver J
Deprez M

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Roncaroli F
Hennuy B
Herens C
Nguyen M
Martin D
Evrard A
Bours V
Boniver J
Deprez M
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Research article

Chromosomal patterns of gene expression from microarray data: methodology, validation and clinical relevance in gliomas

Federico E Turkheimer¹ , Federico Roncaroli² , Benoit Hennuy³ , Christian Herens³ , Minh Nguyen⁴ , Didier Martin⁴ , Annick Evrard³ , Vincent Bours³ , Jacques Boniver⁵ and Manuel Deprez⁵

¹Department of Clinical Neuroscience, Division of Neuroscience, Imperial College London, UK

²University Department of Neuropathology, Division of Neuroscience, Imperial College London, London, UK

³Department of Human Genetics, University of Liège, Belgium

⁴Department of Neurosurgery, University Hospital, University of Liège, Belgium

⁵Laboratory of Neuropathology, Department of Pathology, University Hospital, University of Liège, Belgium

author email corresponding author email

BMC Bioinformatics 2006, 7:526doi:10.1186/1471-2105-7-526


Published:	1 December 2006

Additional files

Additional File 1:

Data for Figure 1. This table details the pattern illustrated in Figure 1. The file contains data sequentially for the chromosomes and consists of 5 columns The first one contains the Affymetrix probe ID, the second one is the expression (log2 scale), the third one contains the chromosomal locus, the 4th one is the exact genome distance for that chromosome (Zero is the p telomere in Affymetrix convention). Column 5 contains the ontology. Additional information is provided in form of colours as follows: - In yellow clusters with log2 expression > abs(0.8) with Citation in PubMed under keyword "GLIOMA" - In orange genes with citation in OMIM under keyword "TUMOUR" (chr4, chr13, chr15, chr18, chrY only) - In red genes with citation in OMIM under keyword "Glioma" (all chromosomes) but not necessarily with high or low expression in this data set.

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