Significados de indel parameters en inglés

SpartaABC implements an approximate-Bayesian-computation rejection algorithm to infer indel parameters from sequence data.

It then performs numerous sequence simulations under randomly sampled indel parameters.

As output, SpartaABC provides point estimates and approximate posterior distributions of the indel parameters.

Second, SpartaABC samples indel parameters from a prior distribution and uses them to simulate sequences.

We study the performance of our methodology and show that it provides accurate estimates of indel parameters in simulations.

Using simulations, we demonstrate that our methodology can accurately infer the indel parameters for a large variety of plausible settings.

Finally, we demonstrate how our methodology can be used to simulate MSAs based on indel parameters inferred from real data sets.

In this study, we present a novel methodology to infer indel parameters from multiple sequence alignments (MSAs) based on simulations.