ProteinEvolverABC: coestimation of recombination and substitution rates in protein sequences by approximate Bayesian computation.

ABSTRACT:

Motivation

The evolutionary processes of mutation and recombination, upon which selection operates, are fundamental to understand the observed molecular diversity. Unlike nucleotide sequences, the estimation of the recombination rate in protein sequences has been little explored, neither implemented in evolutionary frameworks, despite protein sequencing methods are largely used.

Results

In order to accommodate this need, here I present a computational framework, called ProteinEvolverABC, to jointly estimate recombination and substitution rates from alignments of protein sequences. The framework implements the approximate Bayesian computation approach, with and without regression adjustments and includes a variety of substitution models of protein evolution, demographics and

SUBMITTER: Arenas M 

PROVIDER: S-EPMC8696103 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature