A Probabilistic Model for Indel Evolution: Differentiating Insertions from Deletions.

ABSTRACT: Insertions and deletions (indels) are common molecular evolutionary events. However, probabilistic models for indel evolution are under-developed due to their computational complexity. Here, we introduce several improvements to indel modeling: 1) While previous models for indel evolution assumed that the rates and length distributions of insertions and deletions are equal, here we propose a richer model that explicitly distinguishes between the two; 2) we introduce numerous summary statistics that allow approximate Bayesian computation-based parameter estimation; 3) we develop a method to correct for biases introduced by alignment programs, when inferring indel parameters from empirical data sets; and 4) using a model-selection scheme, we test whether the richer model better fits biologica

SUBMITTER: Loewenthal G 

PROVIDER: S-EPMC8662616 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature