Software

AnovArray: a set of SAS macros for the analysis of variance of gene expression data

Christelle Hennequet-Antier¹ , Hélène Chiapello¹ , Karine Piot¹ , Séverine Degrelle³ , Isabelle Hue³ , Jean-Paul Renard³ , François Rodolphe¹ and Stéphane Robin²

¹  Unité Mathématique, Informatique et Génome, INRA, 78352 Jouy-en-Josas, France

²  INA-PG / INRA 16 rue Claude Bernard, F-75231 PARIS cedex 05 – France

³  Unité Biologie du Développement et de la Reproduction, INRA, 78352 Jouy-en-Josas, France

author email corresponding author email

BMC Bioinformatics 2005, 6:150doi:10.1186/1471-2105-6-150

Published:	16 June 2005

Abstract

Background

Analysis of variance is a powerful approach to identify differentially expressed genes in a complex experimental design for microarray and macroarray data. The advantage of the anova model is the possibility to evaluate multiple sources of variation in an experiment.

Results

AnovArray is a package implementing ANOVA for gene expression data using SAS^® statistical software. The originality of the package is 1) to quantify the different sources of variation on all genes together, 2) to provide a quality control of the model, 3) to propose two models for a gene's variance estimation and to perform a correction for multiple comparisons.

Conclusion

AnovArray is freely available at http://www-mig.jouy.inra.fr/stat/AnovArray webcite and requires only SAS^® statistical software.