Methodology article
Differential splicing using whole-transcript microarrays
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* Corresponding author: Mark D Robinson mrobinson@wehi.edu.au
1 Department of Medical Biology, The University of Melbourne, Parkville, Victoria 3010, Australia
2 Cancer Research Program, Garvan Institute of Medical Research, Darlinghurst, NSW 2010, Australia
3 Bioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria 3050, Australia
BMC Bioinformatics 2009, 10:156 doi:10.1186/1471-2105-10-156
Published: 22 May 2009Additional files
Additional file 1:
Plots and corroborating evidence for the top 20 gene-tissue scores. Probe-level data and residuals for the top 20 gene-tissue scores, from applying FIRMAGene to the Affymetrix tissue panel dataset. Additionally, links to various corroborating evidence of tissue-specific splicing or expression.
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Additional file 2:
Top 1000 Gene-tissue scores for the tissue panel dataset. Table giving the probeset identifier, tissue sample, FIRMAGene score and gene symbol, after applying FIRMAGene to the Affymetrix tissue panel dataset.
Format: ZIP Size: 17KB Download file
Additional file 3:
Example R script for FIRMAGene (R). Source code example to run FIRMAGene on the Affymetrix tissue panel dataset.
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