We have no meanings for "indel parameters" in our records yet.
1 SpartaABC implements an approximate-Bayesian-computation rejection algorithm to infer indel parameters from sequence data.
2 It then performs numerous sequence simulations under randomly sampled indel parameters .
3 As output, SpartaABC provides point estimates and approximate posterior distributions of the indel parameters .
4 Second, SpartaABC samples indel parameters from a prior distribution and uses them to simulate sequences.
5 We study the performance of our methodology and show that it provides accurate estimates of indel parameters in simulations.
6 Using simulations, we demonstrate that our methodology can accurately infer the indel parameters for a large variety of plausible settings.
7 Finally, we demonstrate how our methodology can be used to simulate MSAs based on indel parameters inferred from real data sets.
8 In this study, we present a novel methodology to infer indel parameters from multiple sequence alignments (MSAs) based on simulations.
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