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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). |
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