Additional file 11 of Reliable wolf-dog hybrid detection in Europe using a reduced SNP panel developed for non-invasively collected samples

Additional file 11: Table S11. Assignment accuracy for the selected 93 SNPs to categorize simulated individuals between dog and Iberian wolves for 8 different hybrid classes to the correct category (> 0.5) or assign it to any hybrid category (sum of assignments to hybrid categories > 0.7) by the software NEWHYBRIDS. Analysis was run with the four possible prior combinations. Range of results from different runs is indicated.

附加文件11：表S11。本研究借助NEWHYBRIDS软件，以筛选得到的93个单核苷酸多态性（Single Nucleotide Polymorphisms，SNPs）为标记，对家犬与伊比利亚狼的8种不同杂交类群的模拟个体进行分类，统计其分类准确率，涵盖两种分类场景：一是将个体正确归类至对应类群（分类置信度＞0.5），二是将个体归类至任意杂交类群（杂交类群分类置信度总和＞0.7）。本次分析采用了四种可行的先验组合方案，不同运行批次所得结果的取值范围已在表中标注。