PhylteR: Efficient Identification of Outlier Sequences in Phylogenomic Datasets.

ABSTRACT: In phylogenomics, incongruences between gene trees, resulting from both artifactual and biological reasons, can decrease the signal-to-noise ratio and complicate species tree inference. The amount of data handled today in classical phylogenomic analyses precludes manual error detection and removal. However, a simple and efficient way to automate the identification of outliers from a collection of gene trees is still missing. Here, we present PhylteR, a method that allows rapid and accurate detection of outlier sequences in phylogenomic datasets, i.e. species from individual gene trees that do not follow the general trend. PhylteR relies on DISTATIS, an extension of multidimensional scaling to 3 dimensions to compare multiple distance matrices at once. In PhylteR, these distance matrices ex

SUBMITTER: Comte A 

PROVIDER: S-EPMC10655845 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature