The NAb Assay Tutorial covers the process of working with NAb data using a high-throughput assay and uploading data and metadata from files. This topic covers importing data from a low-throughput NAb assay. This process requires more data entry of specific metadata, and gives you the option to see the use of multiple data identifiers in action.
When importing runs for this tutorial, you provide metadata, in this case sample information, manually through the UI. If instead you had a file containing that sample information, you could upload it using the File Upload option for Metadata Input Format. See NAb Assay Reference for more information.
Property | Value |
---|---|
Assay Id | Leave blank. This field defaults to the name of the data file import. |
Cutoff Percentage (1) | 50 |
Cutoff Percentage (2) | 80 |
Host Cell | T |
Experiment Performer | <your name> |
Experiment ID | NAb32 |
Incubation Time | 30 |
Plate Number | 1 |
Curve Fit Method | Five parameter |
Virus Name | HIV-1 |
Virus ID | P392 |
Run Data | Browse to the file: [LabKeyDemoFiles]\Assays\NAb\NAbresults1.xls |
Specimen IDs | Enter the following (in the row of fields below the run data file): |
Specimen 1 | 526455390.2504.346 |
Specimen 2 | 249325717.2404.493 |
Specimen 3 | 249320619.2604.640 |
Specimen 4 | 249328595.2604.530 |
Specimen 5 | 526455350.4404.456 |
Initial Dilution | Place a checkmark and enter 20 |
Dilution Factor | Place a checkmark and enter 3 |
Method | Place a checkmark and select Dilution |
When the import is complete, you can view detailed information about any given run right away, giving quick confirmation of a good set of data or identifying any potential issues. The run summary dashboard looks something like this:
The percent coefficient of variation (%CV) is shown on the neutralization curve charts as vertical lines from each data point. Additional quality control, including excluding particular wells from calculations is available for NAb assays. See NAb Assay QC for details.
As with high-throughput NAb data you can customize graphs and views before integrating or sharing your results. Once a good set of data is confirmed, it could be linked to a study or data repository for further analysis and integration.
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