The approach was first described by Catalano et al. In this last sense, one of the most important recent additions to the program has been the incorporation of a new type of character: landmark configurations in the original form of two- or three-dimensional (2D, 3D) coordinates. However, no other program includes TNT's array of options for morphological data sets, in terms of optimality criteria, analytical options, diagnostic facilities and data types. Other programs compete with TNT for the analysis of sequence data (especially POY: Wheeler et al., 2015 RaxML: Stamatakis, 2014 MrBayes: Ronquist et al., 2012) and are widely used.
Many options and facilities for specific types of analyses or calculations have continued being added to the program after 2008, such as the option to incorporate and automatically test taxonomies (Goloboff and Catalano, 2012), the extension of implied weighting to take into account missing entries and average amounts of homoplasy in sets of characters (Goloboff, 2013), new search routines for difficult data sets (Goloboff, 2014, 2015), or the implementation of algorithms to identify wildcard taxa (Goloboff and Szumik, 2015). Most of the general options for a full phylogenetic analysis were already present by 2008, when the program was made freely available, subsidized by the Willi Hennig Society (Goloboff et al., 2008). Since the first non-beta release of TNT in 2003 (see Goloboff et al., 2004 Giribet, 2005 Hovenkamp, 2004 Meier and Ali, 2005), the program continued being improved on several fronts. 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 3 T times faster, where T is the number of taxa), thus making phylogenetic analysis of landmarks feasible even on standard personal computers.
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). 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. 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. Version 1.5 of the computer program TNT completely integrates landmark data into phylogenetic analysis.
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