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Bioinformatics. 2010 Oct 1;26(19):2363-7. doi: 10.1093/bioinformatics/btq431. Epub 2010 Aug 5.

A framework for oligonucleotide microarray preprocessing.

Author information

1
Department of Oncology, University of Cambridge, CRUK Cambridge Research Institute, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK. benilton.carvalho@cancer.org.uk

Abstract

MOTIVATION:

The availability of flexible open source software for the analysis of gene expression raw level data has greatly facilitated the development of widely used preprocessing methods for these technologies. However, the expansion of microarray applications has exposed the limitation of existing tools.

RESULTS:

We developed the oligo package to provide a more general solution that supports a wide range of applications. The package is based on the BioConductor principles of transparency, reproducibility and efficiency of development. It extends the existing tools and leverages existing code for visualization, accessing data and widely used preprocessing routines. The oligo package implements a unified paradigm for preprocessing data and interfaces with other BioConductor tools for downstream analysis. Our infrastructure is general and can be used by other BioConductor packages.

AVAILABILITY:

The oligo package is freely available through BioConductor, http://www.bioconductor.org.

PMID:
20688976
PMCID:
PMC2944196
DOI:
10.1093/bioinformatics/btq431
[Indexed for MEDLINE]
Free PMC Article

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