ArrayPipe: a flexible processing pipeline for microarray data

Abstract

A number of microarray analysis software packages exist already; however, none combines the user-friendly features of a web-based interface with potential ability to analyse multiple arrays at once using flexible analysis steps. The ArrayPipe web server (freely available at www.pathogenomics.ca/arraypipe) allows the automated application of complex analyses to microarray data which can range from single slides to large data sets including replicates and dye-swaps. It handles output from most commonly used quantification software packages for dual-labelled arrays. Application features range from quality assessment of slides through various data visualizations to multi-step analyses including normalization, detection of differentially expressed genes, andcomparison and highlighting of gene lists. A highly customizable action set-up facilitates unrestricted arrangement of functions, which can be stored as action profiles. A unique combination of web-based and command-line functionality enables comfortable configuration of processes that can be repeatedly applied to large data sets in high throughput. The output consists of reports formatted as standard web pages and tab-delimited lists of calculated values that can be inserted into other analysis programs. Additional features, such as web-based spreadsheet functionality, auto-parallelization and password protection make this a powerful tool in microarray research for individuals and large groups alike.

DOI: 10.1093/nar/gkh446

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@article{Hokamp2004ArrayPipeAF, title={ArrayPipe: a flexible processing pipeline for microarray data}, author={Karsten Hokamp and Fiona M. Roche and Michael Acab and Marc-Etienne Rousseau and Byron Kuo and David Goode and Dana Aeschliman and Jenny Bryan and Lorne A. Babiuk and Robert E. W. Hancock and Fiona S. L. Brinkman}, journal={Nucleic acids research}, year={2004}, volume={32 Web Server issue}, pages={W457-9} }