Partek Flow Documentation

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The Cell barcode QA/QC task report is a plot (Figure 1). Barcodes are ordered on the X-axis by the number reads so that the barcode closest to the Y-axis has the most reads and the barcode furthest from the Y-axis has the fewest reads. The Y-axis value is the number of counts corresponding to each barcode. This type of plot is known often referred to as a knee plot. 

 

Numbered figure captions
SubtitleTextCell barcode QA/QC task report is used to filter barcodes
AnchorNameTask report for Cell Barcode QA/QC

This The knee plot is used to choose a cutoff point between barcodes that correspond to cells and barcodes that do not. Partek Flow automatically calculates a cutoff point, shown by the vertical line on the graph. Barcodes designated as cells are shown in blue while barcodes designated as without cells (background) are shown in grey. This

The cutoff can be adjusted by dragging the vertical line across the graph or by using the text fields in the Filter panel on the left-hand side of the plot. Using the Filter panel, you can specify the number of cells or the percentage of reads in cells and the cutoff point will be adjusted to match your criteria. The number of cells and the percentage of reads counts in cells is adjusted as the cutoff point is changed. To return to the automatically calculated cutoff, click Reset sample filter

The percentage of reads counts in cells and the median reads counts per cell are useful technical quality metrics that can be consulted when optimizing sample handling and , cell isolation techniques. The Deduplication summary section indicates the number of initial and deduplicated alignments, and library preparation

One knee plot is generated for each sample. In projects with multiple samples, Next and Back buttons will appear at the top to enable navigation between sample knee plots. Manual filters must be set separately for each sample. 

To view a summary of the currently selected filter settings for all samples, click Summary table. This opens a table showing key metrics for each sample in the project (Figure 192).

 

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