These are based on empirical sequence data sets.
λ was also varied to include the range typically observed in empirical sequence data [ 17- 20].
These tests using BLAST were employed as a complement to the primary results on barcode loci derived from the empirical comparative sequence data set.
However, other than simulation studies, there are few means of testing the validity of this assumption using empirical gene sequence data.
In particular, we increased the among-gene variance of the simulated data by incorporating variation in models of molecular evolution, model parameter values, and gene tree topologies derived from our empirical nuclear sequence data set (see below).
For empirical protein-sequence data that might reasonably be encountered in biological research, then, both gamma-corrected ML and gamma-corrected Bayesian inference perform well in recovering the correct topology.
With empirical protein-sequence data, Bayesian posterior probabilities provide more-generous estimates of subtree reliability than does the nonparametric bootstrap combined with maximum likelihood inference, reaching 100% posterior probability at bootstrap proportions around 80%.
However, whereas for empirical protein-sequence data (and nucleotide-sequence data: see references cited immediately above) PPs tend to "saturate", i.e. reach 100% at BP values less than 100% (here around 80%), with our simulated data the relationship between BP and PP resembles a smooth curve reaching 100% PP only at BP greater than 99%.
We applied the empirical Bayes model to analyze a sequencing data publicly available.
The developers of Bisulfighter [ 25] improved the DMR detection capability from bisulfite sequencing data by replacing empirical parameters with emission functions for HMM-based DMR detection [ 26] Complimentary to the aforementioned bisulfite sequencing primary data analysis tools is MethGO [ 27].
