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This project involves analyzing DNA microarray data using Bioconductor and R to identify differentially expressed genes in mutant versus wild-type zebrafish. It leverages statistical techniques, including normalization and empirical Bayes moderation, to generate insights and visualizations from genome-wide expression data.