Allelic discrimination tab, Data description for end point analysis – Bio-Rad Firmware & Software Updates User Manual
Page 90
MiniOpticon Instruction Manual
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• Select Percentage of Range to view the data as a percentage of the RFU range
• Select wells in the well selector to focus on subsets of the data
• Select a well group (page 57) to view and analyze a subset of the wells in the plate.
Select each well group by name in the Well Group pull-down menu in the toolbar
Data Description for End Point Analysis
Table 31 lists the types of information shown in the spreadsheet in the End Point tab.
Allelic Discrimination Tab
The Allelic Discrimination tab assigns the genotypes to wells with unknown samples using the
RFU or C
q
of positive control samples (Figure 58). Use this data to identify samples with
different genotypes, including Allele 1, Allele 2, Heterozygote, Unknown, Control 1, or Control
2.
NOTE: The data for allelic discrimination must come from multiplex runs with at
least two fluorophores. Each fluorophore identifies one allele in all samples.
Allelic discrimination analysis requires the following minimal well contents:
• Two fluorophores in each well, except the wells that contain positive controls can
contain only one fluorophore
• One fluorophore that is common to all wells in the well group
• NTC (no template control) samples if you want to normalize the data
The software displays allelic discrimination data in these layouts:
• RFU or C
q
chart. View the data in a graph of RFU or Cq for Allele 1/Allele 2. Each point
in the graph represents data from a single fluorophore in one well
• Well spreadsheet. Shows a spreadsheet listing the allelic discrimination data collected
in each well of the plate
• Well selector. Select the wells with the end point data you want to show
Table 31. End Point spreadsheet contents
Information
Description
Well
Well position in the plate.
Fluor
Fluorophore detected.
Content
A combination of the Sample type and Replicate #.
End RFU
RFU at the end point cycle.
Call
Positive or Negative, where positive samples have an RFU
value greater than the average RFU of the negative controls
plus the Cut Off Value.
Sample
Sample Name loaded in the Plate Editor.