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Workflow 3

View the effects of a list of 30 genes on Cell Viability from all genome-wide screen data within the database

This is an example workflow for a user with a list of 30 interesting genes who wants to analyse whether any of the 30 genes show patterns of cell viability effects across different cell lines and conditions.

1. Click the "Search" link in the main menu.
2. Enter the following RefSeq IDs of the genes into the Genes: input box.

           NM_001253
           XM_375543
           NM_002694
           NM_001009
           NM_002786
           NM_016175
           XM_292836
           XM_290506
           NM_003457
           NM_153750
           NM_182517
           NM_018225
           NM_014402
           NM_004523
           XM_375261
           NM_014338
           NM_004856
           XM_029805
           XM_371023
           NM_005471
           NM_017431
           XM_371781
           NM_012346
           NM_002265
           NM_002295
           NM_020701
           NM_173586
           XM_370727
           NM_001716
           NM_017861

3. Select the Cell Viability option within the search categories.

Figure 1
4. Click Search
5. The results show a heat map. Sort the heat map by Mean Rank Score by clicking the white square beneath the "Mean Rank Score" label.
6. This orders genes by their average rank in terms of cell viability across all genome-wide data within the database.

Figure 2
7. Download the PDF of the heat map for future reference, by clicking the "Save to PDF" button. When the PDF appears in the browser, click the save button and save for your records.

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