Trimming bases and filtering reads
Last updated
Last updated
Based on pre-alignment QA/QC, we need to trim low quality bases from the 3' end of reads.
Click the Unaligned reads data node
Click Pre-alignment tools in the task menu
Click Trim bases (Figure 1)
By default, Trim bases removes bases starting at the 3' end and continuing until it finds a base pair call with a Phred score of equal to or greater than 35 (Figure 2).
Click Finish to run Trim bases with default settings
The Trim bases task will generate a new data node, Trimmed reads (Figure 3). We can view the task report for Trim bases by double-clicking either the Trim bases task node or the Trimmed reads data node or choosing Task report from the task menu.
Double-click the Trimmed reads data node to open the task report
The report shows the percentage of trimmed reads and reads removed in a spreadsheet and a two graphs (Figure 4).
The results are fairly consistent across samples with ~2% of reads untrimmed, ~86% trimmed, and ~12% removed for each. The average quality score for each sample is increased with higher average quality scores at the 3' ends.
Click RNA-Seq 5-AZA to return to the Analyses tab
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