Skip Navigation



Bioinformatics Advance Access published online on May 8, 2008

Bioinformatics, doi:10.1093/bioinformatics/btn224
This Article
Right arrow Advance Access manuscript (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Du, P.
Right arrow Articles by Lin, S. M.
PubMed
Right arrow PubMed Citation
Right arrow Articles by Du, P.
Right arrow Articles by Lin, S. M.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author (2008). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

lumi: a pipeline for processing Illumina microarray

Pan Du 1,*, Warren A. Kibbe 1 and Simon M. Lin 1

1Robert H. Lurie Comprehensive Cancer Center, Northwestern University, Chicago, IL, 60611, USA

*To whom correspondence should be addressed. Dr. Pan Du, E-mail: dupan{at}northwestern.edu


   Abstract

Summary: Illumina microarray is becoming a popular microarray platform. The BeadArray technology from Illumina makes its preprocessing and quality control different from other microarray technologies. Unfortunately, most other analyses have not taken advantage of the unique properties of the BeadArray system, and have just incorporated preprocessing methods originally designed for Affymetrix microarrays. lumi is a Bioconductor package especially designed to process the Illumina microarray data. It includes data input, quality control, variance stabilization, normalization and gene annotation portions. In specific, the lumi package includes a variance-stabilizing transformation (VST) algorithm that takes advantage of the technical replicates available on every Illumina microarray. Different normalization method options and multiple quality control plots are provided in the package. To better annotate the Illumina data, a vendor independent nucleotide universal identifier (nuID) was devised to identify the probes of Illumina microarray. The nuID annotation packages and output of lumi processed results can be easily integrated with other Bioconductor packages to construct a statistical data analysis pipeline for Illumina data.

Availability: The lumi Bioconductor package, www.bioconductor.org

Contact: Pan Du (dupan{at}northwestern.edu), Warren Kibbe (wakibbe{at}northwestern.edu), Simon Lin (s-lin2{at}northwestern.edu

Associate Editor: Dr. Joaquin Dopazo


Received on December 20, 2007; revised on February 3, 2008; accepted on May 5, 2008

Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer:
Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.