Supporting datasets for Comparison of Multi-locus Sequence Typing software for next generation sequencing data

To test the accuracy of MLST applications, we have constructed two datasets of simulated reads in FASTQ format. The first has perfect reads over the MLST genes, plus a flanking region (based on the Salmonella Typhi CT18 reference) in varying levels of coverage from 1 to 30. This allows for us to see at what point each software application can accurately detect an allele.The second dataset is similar to the first, but contains 2 Salmonella samples Salmonella Typhi CT18 and Salmonella Weltevreden, with the samples mixed in varying ratios. This allows us to see at what point software applications detect that there is a mixed allele/contamination.为验证多位点序列分型（MLST）工具的应用准确性，本研究构建了两份FASTQ格式的模拟测序读段数据集。第一份数据集包含覆盖MLST基因区域及侧翼序列的无错测序读段，其测序覆盖度基于伤寒沙门氏菌CT18参考基因组设置，覆盖度范围为1至30倍且梯度可变。借此可观测不同测序覆盖度下，各软件工具准确识别等位基因的临界阈值。第二份数据集与第一份结构相似，但包含两份沙门氏菌样本——伤寒沙门氏菌CT18与韦太夫雷登沙门氏菌，并以不同比例将两份样本混合。借此可观测软件工具识别混合等位基因或样本污染的临界阈值。