What can we infer about mutation calling by using time-series mutation accumulation data and a Bayesian Mutation Finder?

ABSTRACT: Accurate estimates of mutation rates derived from genome-wide mutation accumulation (MA) data are fundamental to understanding basic evolutionary processes. The rapidly improving high-throughput sequencing technologies provide unprecedented opportunities to identify single nucleotide mutations across genomes. However, such MA derived data are often difficult to analyze and the performance of the available methods of analysis is not well understood. In this study, we used the existing Bayesian Genotype Caller adapted for MA data that we refer to as Bayesian Mutation Finder (BMF) for identifying single nucleotide mutations while considering the characteristics of the data. We compared the performance of BMF with the widely used Genome Analysis Toolkit (GATK) by applying these two methods to

SUBMITTER: Maruki T 

PROVIDER: S-EPMC11550904 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature