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Figure 3 | BMC Bioinformatics

Figure 3

From: UrQt: an efficient software for the Unsupervised Quality trimming of NGS data

Figure 3

Quality of the trimmed data for each software. Performances of different trimming algorithms in terms of the median quality (phred) of the resulting trimmed data set for different quality thresholds. The choices of t correspond to the parameter –t for UrQt, –q for Cutadapt and Sickle and SLIDINGWINDOW:4:t for Trimmomatic. The black line corresponds to raw (untrimmed) data, and R1 and R2 correspond to the two ends of paired-end data.

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