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In the Analysis tab, data are represented as circles, termed data nodes. One data node, Unaligned readsmRNA, should be visible in the Analysis tab (Figure 1).

• Click the Unaligned reads node

Clicking a data node brings up the context-sensitive task menu with tasks that can be performed on the data node (Figure 2).

Pre-alignment QA/QC assesses the quality of the unaligned reads and will help us determine whether trimming or filtering is necessary. 

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Running a task creates a task node, e.g. the blue rectangle labeled Pre-alignment QA/QC (Figure 3), which contains details on the task and a report.. While tasks have been queued or are in progress they have a lighter color. Any output nodes that the task will generate are also displayed in a lighter color until the task completes. Once the task begins running, a progress bar is displayed on the task node. 

• Click the Pre-alignment QA/QC node

The context-sensitive task menu (Figure 4) shows the option to view the Task report and the Task details. You can also access a task report by double-clicking on a task node. 

• Click Task report

Pre-aligment QA/QC provides information about the sequencing quality of unaligned reads (Figure 5). Both project level summaries and sample-level summaries are provided. 

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The Average base quality score per position graph in the upper right-hand panel (Figure 6) gives the average Phred score for each position in the reads. 

A Phred score is a measure of base call accuracy with a higher score indicating greater accuracy.

By convention, a score above 20 is considered adequate. As you can see, the standard error bars in the graph show that some reads have quality scores below 20 for some of their base pair calls near the 3' end.

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