QuasiFlow: Supplementary File 2 (PDF)

This PDF contains complementary data related to:: · Table S1: Evaluation of TYLCV-Mld genetic variation. · Table S2: Nucleotide changes detected in the mtDNA samples used to validate QuasiFlow analyses. · Table S3: mtDNA variants detected that have a known relation with a human disease. · Table S4: ANOVA test for the 47 samples considering the different factors evaluating genetic variation provided by QuasiFlow · Figure S1: Plot of the number of SNPs detected depending on the number of nucleotides analysed. Nine MiSeq datasets (yellow lines; ranging from 115 to 335 million reads) and three HiSeq dataset (blue lines, ranging from 500 to 501.5 million reads) were used. Every dataset was randomly subset in bulks of 50 000 read folds and plotted against the number of SNPs detected in it by Varscan2. · Table S5: Variables calculated during QuasiFlow execution.本PDF包含与以下内容相关的补充数据： · 表S1：TYLCV-Mld遗传变异评估 · 表S2：用于验证QuasiFlow分析的线粒体DNA（mtDNA, mitochondrial DNA）样本中检测到的核苷酸变化 · 表S3：已被证实与人类疾病存在明确关联的mtDNA变异体 · 表S4：针对47份样本的方差分析（ANOVA, Analysis of Variance）检验，考量QuasiFlow用于评估遗传变异的各项影响因素 · 图S1：基于分析核苷酸数量绘制的单核苷酸多态性（SNP, Single Nucleotide Polymorphism）检出数量散点图。本次分析共使用9组MiSeq测序数据集（黄色曲线，读段数介于1.15亿至3.35亿条之间）与3组HiSeq测序数据集（蓝色曲线，读段数介于5亿至5.015亿条之间）。所有数据集均以5万读段为批量进行随机子集划分，并以Varscan2软件在各子集内检出的SNP数量为纵坐标进行绘图。 · 表S5：QuasiFlow运行过程中计算得到的各项变量