RVD is available both as a command-line program and for use in MATLAB and estimates context-specific error using a beta-binomial model to call variants with minor allele frequency (MAF) as low as 0.1%.
Both simulations show that our method is able to reliably infer root distribution estimates, context-dependent model parameters and frequencies, as well as branch lengths from a large dataset.
Figure10 plots the measured and estimated context switch power, mainly the dynamic power, overhead as a function of the frequency.
Our approach for estimating context-dependent evolutionary patterns across a phylogenetic tree separates the estimation of the root distribution probabilities from the estimation of the context-dependent evolutionary patterns.
Instead of estimating context-dependent substitution patterns on 18 branches, these patterns now have to be estimated on 52 branch parts, which leads to an almost 3-fold increase in computation time.
As a consequence, significant effect estimates of context variables with an absolute value equal or larger than.005 will receive substantive interpretation.
Absent a cost-effectiveness assessment, it is nevertheless useful to place our unit cost estimates in context.
Further, most estimates are context dependent; an estimate for survival of a species from one site might not apply to a second site.
Two facts help put the estimate in context.
One group of studies focuses on estimating the context of an audio segment with varying classification techniques [8, 30, 31].
ICC estimates are context-specific, as magnitude of ICC is inversely related to sample homogeneity [30, 31].
