|This topic is under construction for the 17.1 release of LabKey Server. For current documentation of this feature, click here.
Explore Graph Options
The Change Graph Options
menu at the top of the run details page offers a variety of viewing options for your data:
- Curve Type: See what the data would look like if you had chosen a different curve fit (see below).
- Graph Size: Small, medium, or large graphs as desired.
- Samples Per Graph: Choose more graphs each containing fewer samples, or fewer more complex graphs. Options: 5, 10, 15, 20 samples per graph.
- Graphs Per Row: Control the width of the results layout. Options 1, 2, 3, or 4 graphs per row.
- Data Identifiers: If you provided multiple ways of identifying your data, you may select among them here.
- From the Change Graph Options menu, select a different Curve Type and view the resulting graph.
- You can experiment with how the graph would appear using a different curve fit method without changing the run data. For example, select Polynomial. The top graph will look something like this:
Note that this alternate view shows you your data with another curve type selected, but does not
save this alternate view. If you want to replace the current run data with the displayed data, you must delete and reimport the run with the different Curve Type
Notice that as you change graph options, the page URL is updated with the parameters you changed. You can customize the graph directly via the URL if you wish. In fact, while the 96-well low-throughput NAb assays do not offer all of these additional graph options on the pulldown menus, if you would like to use them you could specify the same parameters in the URL. For example:
LabKey's NAb Assay tools provide quick feedback after the upload of each run. Once you confirm that the particular run of data is valid you might want to quickly share the results with colleagues via URLs or printable browser view. You could also copy your data to a LabKey study
where it could be integrated with other information about the same specimens or samples. Connecting differing neutralization rates to different cohorts or treatment protocols could enable discoveries that improve results.
You have now completed the process of setting up for, importing, and working with NAb data. You might proceed directly to designing the plate template and assay that would suit your own experimental results. If you are working with low-throughput 96-well data, you can learn more in this topic: Work with Low-Throughput NAb Data