Goloboff Pablo A, Catalano Santiago A
Unidad Ejecutora Lillo, Consejo Nacional de Investigaciones Científicas y Técnicas, Miguel Lillo 251, 4000 S.M. de Tucumán, Argentina.
Facultad de Ciencias Naturales e Instituto Miguel Lillo, Universidad Nacional de Tucumán, Miguel Lillo 205, 4000 S.M. de Tucumán, Argentina.
Cladistics. 2016 Jun;32(3):221-238. doi: 10.1111/cla.12160. Epub 2016 Apr 25.
Version 1.5 of the computer program TNT completely integrates landmark data into phylogenetic analysis. Landmark data consist of coordinates (in two or three dimensions) for the terminal taxa; TNT reconstructs shapes for the internal nodes such that the difference between ancestor and descendant shapes for all tree branches sums up to a minimum; this sum is used as tree score. Landmark data can be analysed alone or in combination with standard characters; all the applicable commands and options in TNT can be used transparently after reading a landmark data set. The program continues implementing all the types of analyses in former versions, including discrete and continuous characters (which can now be read at any scale, and automatically rescaled by TNT). Using algorithms described in this paper, searches for landmark data can be made tens to hundreds of times faster than it was possible before (from T to 3T times faster, where T is the number of taxa), thus making phylogenetic analysis of landmarks feasible even on standard personal computers.
计算机程序TNT 1.5版本将地标数据完全整合到系统发育分析中。地标数据由终端分类群的坐标（二维或三维）组成；TNT重建内部节点的形状，使得所有树枝的祖先和后代形状之间的差异总和最小；这个总和用作树形评分。地标数据可以单独分析，也可以与标准特征结合分析；读取地标数据集后，可以透明地使用TNT中所有适用的命令和选项。该程序继续执行前几个版本中的所有分析类型，包括离散和连续特征（现在可以在任何尺度下读取，并由TNT自动重新缩放）。使用本文中描述的算法，地标数据的搜索速度可以比以前快几十到几百倍（从快T到3T倍，其中T是分类群的数量），从而使得即使在标准个人计算机上进行地标系统发育分析也可行。
