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Fig. 1 | BMC Genomics

Fig. 1

From: A benchmark study on error-correction by read-pairing and tag-clustering in amplicon-based deep sequencing

Fig. 1

Schematic representation of the experimental design. To compare the efficiency of different error-correction methods, we generated the sequencing library in the following steps. Step 1: Linking tags to the templates. Step 2: Amplifying templates with paired end sequencing adapter. Step 3: Sequencing the library on Illumina Hiseq platform. After sequencing, we compared the efficiency of different error-correction methods. Paired-end consensus was to filter out the pairs of reads that were not identical. Tag consensus was to filter out groups of reads that were with same tags but not identical. Combined consensus used both methods for filtering. The real low frequency variants are indicated as yellow dots. And the sequencing errors are indicated as pink dots

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