Processing and Analyzing Multiple Genomes Alignments with MafFilter.

Abstract

As the number of available genome sequences from both closely related species and individuals within species increased, theoretical and methodological convergences between the fields of phylogenomics and population genomics emerged. Population genomics typically focuses on the analysis of variants, while phylogenomics heavily relies on genome alignments. However, these are playing an increasingly important role in studies at the population level. Multiple genome alignments of individuals are used when structural variation is of primary interest and when genome architecture permits to assemble de novo genome sequences. Here I describe MafFilter, a command-line-driven program allowing to process genome alignments in the Multiple Alignment Format (MAF). Using concrete examples based on publicly available datasets, I demonstrate how MafFilter can be used to develop efficient and reproducible pipelines with quality assurance for downstream analyses. I further show how MafFilter can be used to perform both basic and advanced population genomic analyses in order to infer the patterns of nucleotide diversity along genomes.