Enhanced data analysis for the QuantStudio 5 Real-Time PCR System for Human Identification

Applied Biosystems HID Real-Time PCR Analysis Software v1.3 introduces the ability to analyze the sample data with a virtual standard curve defined by the user. In addition, the software includes the quantification, STR setup features, and STR data quality review functionality that integrate and streamline the quantification and STR analysis steps. By providing predefined templates for Quantifiler and STR kit runs, sample setup time is minimized. Incorporating HID-specific data-quality assessment and STR setup tools into a single software package enables faster, better decision making.

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Flexible standard curve options

HID Real-Time PCR Analysis Software v1.3 enables virtual standard curve functionality to minimize variation. This feature allows the user to define appropriate standard curve values (y-intercept and slope) for all targets applicable to the assay being run. The software allows for an enhanced data analysis pipeline that calculates the quantity of the samples using the traditional standards on the plate and/or virtual standard curve values (See Figure 1).

Streamlined HID-specific workflow

The software provides HID-specific templates preconfigured for the Quantifiler Trio, HP, Duo, and Human DNA quantification kits, for a one-click start option. Customize and set up a run by selecting one of the Quantifiler assay template icons on the home screen (Figure 2).

In each template, predefined experimental properties, targets, sample types, and standard concentrations simplify the quantification run setup process. To set up a run, simply enter or import the sample names and well positions of any unknown samples.

The intuitive, easy-to-navigate user interface further streamlines the workflow  (Figure 3). The “Plate Setup”, “Run”, and “Analysis” functions are accessed in the “Experiment Menu” on the left navigation pane. Detailed experimental parameters and results are displayed conveniently on the right pane. For advanced data analysis, there are multiple ways to view and filter data, including plate map and table views, amplification plots, standard curve plots, multicomponent plots, and raw data views that support fast QC, sample data review, and troubleshooting.