Welcome to the RNA-seq tool by the Molecular and Genomics Informatics Core (MaGIC)!
Start by uploading your RNA-seq dataset. This step requires properly formatted data such as raw count tables or preprocessed expression matrices. Ensure the data includes samples as columns and genes as rows for optimal processing.
Perform differential expression analysis to identify genes that are significantly upregulated or downregulated between your experimental conditions. Adjust parameters such as normalization method and statistical thresholds to tailor the analysis to your specific experiment.
Explore and interpret the results of your analysis with interactive visualizations. Generate heatmaps, PCA plots, volcano plots, and more to uncover biological patterns, validate findings, and present your data effectively.
You most likely shouldnt be changing these settings.
Generally the X axis would be your expression comparator such as log2FoldChange
Generally the Y axis would be your significance such as padj
Caution: Heatmaps may take a while to generate. We recommend changing the settings in one action instead of multiple