BioinformaticsBioinformaticsPeer-reviewed journal article
Rapid alignment-free phylogenetic identification of metagenomic sequences
Abstract
MotivationTaxonomic classification is at the core of environmental DNA analysis. When a phylogenetic tree can be built as a prior hypothesis to such classification, phylogenetic placement (PP) provides the most informative type of classification because each query sequence is assigned to its putative origin in the tree. This is useful whenever precision is sought (e.g. in diagnostics). However,likelihood-based PP algorithms struggle to scale with the ever-increasing throughput of DNA sequencing.\n\nResultsWe have developed RAPPAS (Rapid Alignment-free Phylogenetic Placement via Ancestral Sequences) which uses an alignment-free approach, removing the hurdle of query sequence alignment as a preliminary step to PP. Our approach relies on the precomputation of a database of k-mers that may be present with non-negligible probability in relatives of the reference sequences. The placement is performed by inspecting the stored phylogenetic origins of the k-mers in the query, and their probabilities. The database can be reused for the analysis of several different metagenomes. Experiments show that the first implementation of RAPPAS is already faster than competing likelihood-based PP algorithms, while keeping similar accuracy for short reads. RAPPAS scales PP for the era of routine metagenomic diagnostics.\n\nAvailabilityProgram and sources freely available for download at gite.lirmm.fr/linard/RAPPAS.\n\nContactbenjamin.linard@lirmm.fr
- Citations
- 52
- FWCI
- 1.99
- Field percentile
- top 13%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Phylogenetic placement of short reads without sequence alignment
Matthias Blanke, Burkhard Morgenstern·bioRxiv·Oct 19, 2020
- A k-mer-based maximum likelihood method for estimating distances of reads to genomes enables genome-wide phylogenetic placement.
Ali Osman Berk Şapcı, Siavash Mirarab·Genome biologyPeer-reviewed·Feb 21, 2026
- Methods for Automatic Reference Trees and Multilevel Phylogenetic Placement
Lucas Czech, Pierre Barbera, Alexandros Stamatakis·BioinformaticsPeer-reviewed·Aug 30, 2018
- SeqDistK: a Novel Tool for Alignment-free Phylogenetic Analysis
Xuemei Liu, Wen Li, … Li Charlie Xia·bioRxiv·Aug 16, 2021
- Scalable methods for analyzing and visualizing phylogenetic placement of metagenomic samples
Lucas Czech, Alexandros Stamatakis·PLoS ONEPeer-reviewed·May 28, 2019
- APPLES: Scalable Distance-based Phylogenetic Placement with or without Alignments
Metin Balaban, Shahab Sarmashghi, Siavash Mirarab·Systematic BiologyPeer-reviewed·Sep 18, 2019