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| 1. Click the "Microarray" tab or the "RNA-Seq" tab in the sidebar, then select the “Atlas” tab. |
| 2. Enter a list of genes (AGI code or SYMBOL) in the lower-left section of the main screen (if you do not have a list, click the "Example" button). |
| 3. Click the "Submit" button to display the atlas corresponding to the entered genes at the top of the screen. |
| 4. To reset, click the "Reset Table" button at the top of the main screen. |
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| *SRscore = Stress Response score, representing a consistent tendency of upregulation or downregulation across multiple datasets. |
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| 1. After completing steps 1-3 above, click the "Plot" button at the bottom of the main screen to generate a heatmap. |
| 2. cUse the interface above the "Plot" button to adjust the y-axis label or the height of the heatmap as needed, then click the "Plot" button again to update the display. |
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| 1. After completing step 1-1, click on any row (or multiple rows) in the atlas. |
| 2. Click the tab labeled with the name of the stress of interest at the top of the main screen. |
| 3. Click the "Show SRratio" button to display the SRratio of the selected gene for each experimental sample. |
| 4. Click the "Show Metadata" button to display metadata related to the selected stress. |
| 5. Click any row in the table at the top, then click the "Show Metadata" button again to display metadata with color-coded experimental samples where the SRratio is ≥2 or ≤-2. |
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| **SRratio = Expression ratios under stress and control conditions. |
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| 1. After completing step 1-1, click on any row in the atlas. |
| 2. Click the "Template Matching" tab in the sidebar. |
| 3. Click the "Plot" button to generate a heatmap of matching genes. |
| 4. Use the interface above the "Plot" button to adjust parameters, such as the distance calculation method, number of matching genes, y-axis label, or heatmap height, as needed. Click the "Plot" button again to update the display. |
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| 1. After completing step 1-3, click the "Analysis" button in the lower-right of the main screen to start enrichment analysis based on gene sets defined by Gene Ontology and KEGG. |
| 2. Once the analysis is complete, a dot plot will appear at the bottom of the main screen. |
| 3. Use the interface below the "Analysis" button to adjust parameters, such as the x-axis label, the number of displayed items, the number of characters per line break, or the height of the dot plot as needed. |
| 4. Optionally, use the interface above the "Analysis" button to include our customized gene sets for further analysis. |
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