This is a streamlit app to determine differential analysis of DESeq2 datasets and create a MA plot of the data.
- Upload the .txt file from DESeq2 output.
- Create a unique name for the files
- Select the adjusted p-value you want: 0.05 is what is typically recommended
- Select the FoldChange you want to use when selecting the differentially changed genes or chromosomal locations.
- Make sure the column names in your .txt file match what is in the log2FoldChange and padj, or change the column names in the app.
- Select the column name you want to visualize on the .HTML plot, typically it would be gene_name or transcript id
- Adjust any of the figure formating for your MA plot such as font size, number of ticks, image size, etc.
- For the number of ticks on the y-axis (baseMean) here is the typical outcome for each number:
- 1 = 101
- 2 = 102
- 3 = 103
- 4 = 104
- 5 = 105
- 6 = 106
- Run analysis and have fun!
https://differentialanalysismaplot.streamlit.app/