Simulation Data on Computational Performance and Statistical Accuracy of *BEAST

Aggregating simulation results used to characterize the scaling behavior of the *BEAST method in Bayesian phylogenetics. The data enables quantitative prediction of how increasing the number of loci impacts computational performance and statistical accuracy, comparing *BEAST to concatenation and other species tree methods.

Use Cases

• Analyze the relationship between the number of loci and computational performance metrics from simulation studies.
• Compare the statistical accuracy of *BEAST relative to concatenation methods across varying branch lengths.
• Evaluate species tree estimation performance using simulation parameters derived from phylogenomic data sets like Primates and Pedicularis.

Strengths

• Data is derived from follow-up simulations conducted over a wide range of parameters.
• Simulations are based on estimated parameters from two empirical phylogenomic data sets.
• Results provide insight into the number of loci required to obtain a given level of accuracy.

Limitations

• The dataset consists solely of simulation results, not empirical biological sequence data.
• Specific data structure, row count, column count, and file formats are unknown.
• The temporal scope of the simulated data is not defined.

Provenance

Source

dryad

Collection Method

Generated from computational simulation studies.

Freshness

2020-06-24