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