MaGIC RNA-Seq Tool

Welcome to the RNA-seq tool by the Molecular and Genomics Informatics Core (MaGIC)!


Step 1: Data Upload

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.

Step 2: Differential Expression

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.

Step 3: Visualize

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.

Input Data



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Comparisons



Significant genes in comparison

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Volcano Plot Options

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


Expression Plot Options


Venn Diagram Options


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Only populated when ComBat-seq was enabled in the DE setup.
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Plot Options


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Plot Options

Pick the pathway source and pathways below; ribbons are coloured by the chosen contrast's log2FC.

Caution: Heatmaps may take a while to generate. We recommend changing the settings in one action instead of multiple



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Signature Scoring

                      




Correlation



ORA and KEGG Only notes**



Choose a comparison (and options) at left, then click Run GSEA to compute the enrichment.
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Gene Set Enrichment Table

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Choose a comparison (and options) at left, then click Run ORA to compute the analysis.
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Over Representation Analysis Table

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