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About this tool
An MA plot shows each gene's log fold change against its average expression. That makes it easy to spot normalization bias and to see whether changes cluster in low-expressed genes. Load a differential expression table with a mean expression column, such as DESeq2 or limma output, and export a labeled figure.
Pre-computed mode needs one row per gene, with columns for ID, mean expression, log₂ fold change, and p-value. You supply mean expression yourself, such as baseMean from DESeq2 or AveExpr from limma. If it looks like raw counts, the tool offers a log₂(x+1) transform, ticked by default. Raw mode takes one column per sample, assigned to two groups. The tool then computes fold change, mean expression, and p-values with Welch's t-test, a paired t-test, or Mann-Whitney U.
The x-axis (A) is average log₂ expression and the y-axis (M) is log₂ fold change. Most genes should sit around zero. If the LOESS curve bends away from zero, the data may have a normalization problem. Red points are up-regulated, blue points are down-regulated, and gray points miss your cutoffs.
EuropaDX, Inc. (2026). EuropaXp OmicsCloud Bioinformatics Toolkit: MA Plot Tool [Online software]. Retrieved from https://europadx.com/tools/maplot
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