App-SpaM: Phylogenetic placement of short reads without sequence alignment

Abstract

Abstract Motivation Phylogenetic placement is the task of placing a query sequence of unknown taxonomic origin into a given phylogenetic tree of a set of reference sequences. A major field of application of such methods is, for example, the taxonomic identification of reads in metabarcoding or metagenomic studies. Several approaches to phylogenetic placement have been proposed in recent years. The most accurate of them require a multiple sequence alignment of the references as input. However, calculating multiple alignments is not only time consuming, but also limits the applicability of these approaches. Results Herein, we propose App-SpaM, an efficient algorithm for phylogenetic placement of short sequencing reads on a tree of a set of reference sequences. App-SpaM produces results of high quality that are on a par with the best available approaches to phylogenetic placement, while our software is two orders of magnitude faster than these existing methods. Our approach neither requires a multiple alignment of the reference sequences, nor alignments of the queries to the references. This enables App-SpaM to perform phylogenetic placement on a broad variety of data sets. Availability The source code of App-SpaM is freely available on Github at https://github.com/matthiasblanke/App-SpaM together with detailed instructions for installation and settings. App-SpaM is furthermore available as a Conda-package on the Bioconda channel. Supplementary information Supplementary data are available at Bioinformatics Advances online.