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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

Author Affiliations

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

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

Published: 16 June 2005



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.


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.


AnovArray is freely available at webcite and requires only SAS® statistical software.