6 New DE Gene analysis

This portion of the system operates similarly to the ‘DE Gene analysis’ module, primarily designed to process custom data uploaded by users, which may not be present in the existing database.

Using limma-voom to screen DE genes based on Read-count expression data and performing GO/KEGG enrichment analysis for differentially Expressed (DE) genes.

6.1 First step: Upload data and parameter selection

Just select each parameter sequentially as labeled in the figure.

Figure 6.1: A screenshot of the first step of DE gene analysis.

6.2 Second step: Analysis result

This part refers to ‘DE Gene analysis’ module.

Note

Difference analysis supports 3 types of data: Microarry, Normalzied RNAseq data (TPM), and Raw reads count.

6.3 Export to PDF

When all the results are loading, pressing Ctrl + p would start the Printer to PDF function to output the result to a PDF version report.