ArrayNorm: comprehensive normalization and analysis of microarray data

R Pieler; F Sanchez-Cabo; H Hackl; G G Thallinger; Z Trajanoski

doi:10.1093/bioinformatics/bth174

ArrayNorm: comprehensive normalization and analysis of microarray data

Bioinformatics. 2004 Aug 12;20(12):1971-3. doi: 10.1093/bioinformatics/bth174. Epub 2004 Apr 8.

Authors

R Pieler¹, F Sanchez-Cabo, H Hackl, G G Thallinger, Z Trajanoski

Affiliation

¹ Institute of Genomics and Bioinformatics and Christian Doppler Laboratory for Genomics and Bioinformatics, Graz University of Technology, 8010 Graz, Austria.

PMID: 15073026
DOI: 10.1093/bioinformatics/bth174

Abstract

Summary: ArrayNorm is a user-friendly, versatile and platform-independent Java application for the visualization, normalization and analysis of two-color microarray data. A variety of normalization options were implemented to remove the systematic and random errors in the data, taking into account the experimental design and the particularities of every slide. In addition, ArrayNorm provides a module for statistical identification of genes with significant changes in expression.

Availability: The package is freely available for academic and non-profit institutions from http://genome.tugraz.at

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Algorithms*
Gene Expression Profiling / methods*
Gene Expression Profiling / standards
Internet
Oligonucleotide Array Sequence Analysis / methods*
Oligonucleotide Array Sequence Analysis / standards
Sequence Analysis, DNA / methods*
Software*
User-Computer Interface*