SENDBS Crack [Win/Mac] [March-2022] SENDBS computes average nucleotide substitutions within and between populations under the standard neutral theory of molecular evolution and assigns a test statistic to each pair of species. Average nucleotide substitutions between populations are approximated by the frequency-weighted average of nucleotide differences at single loci. The multilocus context is taken into account by modeling the site-specific variation of transition/transversion ratios as a function of the number of pairs of homologous sites. SENDBS is highly parameter-sensitive and calculates correctly the parameter values that optimally fit the observed data. It also computes the standard error of average nucleotide substitutions. SENDBS computes the standard error of the average nucleotide substitutions in a similar way as Nei and Jin (1987) did, using a bootstrap method. SENDBS does not rely on the assumption that the loci are selectively neutral, since the evolution of all loci is modeled simultaneously. SENDBS computes standard errors of average nucleotide substitutions with a bootstrap method by resampling sites, which is different from Nei and Jin's method. Also, sensbs constructs a population tree with a neighbor-joining method. SENSBS Description: SENSBS computes average nucleotide substitution rates between species and reconstructs a neighbor-joining tree. SENSBS is a successor of the program Kishino-Hasegawa (KH) that was developed and is maintained by Koike et al. (1997). It is based on a coalescent model that takes account of the multilocus context. It computes average nucleotide substitution rates between species and reconstructs a neighbor-joining tree. It is thus a suitable alternative to the software RAxML (Stamatakis 2006) if you are interested in calculating average nucleotide substitution rates. 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