Faculdade de Ciências da Universidade do Porto, Porto, Portugal.
Mitochondrion. 2012 Nov;12(6):666-8. doi: 10.1016/j.mito.2012.08.003. Epub 2012 Aug 18.
We describe a fast, automated process to determine distances between mtDNA sequences allowing their subsequent clustering and haplogroup assignment that may increase the speed of data analysis and avoid human errors. In order to avoid complexities/ambiguities resulting from recurrence and insertion/deletion phenomena and thus improving evolutionary signal-to-noise ratio, protein coding sequences were compared using a vectorial representation method, and the corresponding genetic distance matrix was used for the construction of a neighbor-joining/UPGMA tree or an MDS graphic, which generally agrees with the consensus mtDNA phylogeny. mtDNAoffice software, detailed instructions and example files are freely available on the web at http://www.portugene.com/SupMat/setupmtDNAoffice.rar.
我们描述了一种快速、自动化的方法来确定 mtDNA 序列之间的距离,从而允许对它们进行聚类和单倍型分组,这可能会提高数据分析的速度并避免人为错误。为了避免由于重复和插入/缺失现象而产生的复杂性/歧义,从而提高进化信号与噪声的比值,我们使用向量表示法比较了蛋白质编码序列,并使用相应的遗传距离矩阵构建了邻接法/UPGMA 树或 MDS 图,这些通常与共识 mtDNA 系统发育一致。mtDNAoffice 软件,详细的说明和示例文件可在网站上免费获得:http://www.portugene.com/SupMat/setupmtDNAoffice.rar。