Abstract:
:The presence of different transcripts of a gene across samples can be analysed by whole-transcriptome microarrays. Reproducing results from published microarray data represents a challenge owing to the vast amounts of data and the large variety of preprocessing and filtering steps used before the actual analysis is carried out. To guarantee a firm basis for methodological development where results with new methods are compared with previous results, it is crucial to ensure that all analyses are completely reproducible for other researchers. We here give a detailed workflow on how to perform reproducible analysis of the GeneChip®Human Exon 1.0 ST Array at probe and probeset level solely in R/Bioconductor, choosing packages based on their simplicity of use. To exemplify the use of the proposed workflow, we analyse differential splicing and differential gene expression in a publicly available dataset using various statistical methods. We believe this study will provide other researchers with an easy way of accessing gene expression data at different annotation levels and with the sufficient details needed for developing their own tools for reproducible analysis of the GeneChip®Human Exon 1.0 ST Array.
journal_name
Brief Bioinformjournal_title
Briefings in bioinformaticsauthors
Rodrigo-Domingo M,Waagepetersen R,Bødker JS,Falgreen S,Kjeldsen MK,Johnsen HE,Dybkær K,Bøgsted Mdoi
10.1093/bib/bbt011subject
Has Abstractpub_date
2014-07-01 00:00:00pages
519-33issue
4eissn
1467-5463issn
1477-4054pii
bbt011journal_volume
15pub_type
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