ArrayNorm 1.7.6 – Normalisation and Statistical Analysis for Microarray-experiment data

ArrayNorm 1.7.6


ArrayNorm is an platform-independent Java tool for normalisation and statistical analysis for microarray-experiment data. It provides modules for visualization (scatterplot, histogram, boxplot, etc.), normalization and analysis. The user can upload any number of microarray-datasets, resulting from one experiment. According to experimental design and relationships between the microarrays, the data is organized for later analysis and replicate handling. Arraynorm features a variety of normalization methods, such as ‘global median’, ‘dyeswap-pairs normalization’, ‘lowess fitting’ and ‘normalization using control-spots’. Differentially expressed genes can be found using foldchange-detection or statistical tests (t-test). All DE genes can be printed to a textfile, allowing further analysis with other software-tools (like Genesis).



Genomics & Bioinformatics Graz, Graz University of Technology



  • Linux / WIndows /MacOsX
  • Java





Pieler R, Sanchez-Cabo F, Hackl H, Thallinger GG, Trajanoski Z.
ArrayNorm: Comprehensive Normalization and Analysis of Microarray Data.
Bioinformatics. 2004. 20:1971-1973.

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