VSEARCH: a versatile open source tool for metagenomics

Department of Informatics, University of Oslo, Oslo, Norway
Department of Microbiology, Oslo University Hospital, Oslo, Norway
Heidelberg Institute for Theoretical Studies, Heidelberg, Germany
Institute for Theoretical Informatics, Karlsruhe Institute of Technology, Karlsruhe, Germany
School of Engineering, University of Glasgow, Glasgow, United Kingdom
Warwick Medical School, University of Warwick, Coventry, United Kingdom
Department of Ecology, University of Kaiserslautern, Kaiserslautern, Germany
UMR LSTM, CIRAD, Montpellier, France
DOI
10.7287/peerj.preprints.2409v1
Subject Areas
Biodiversity, Bioinformatics, Computational Biology, Genomics, Microbiology
Keywords
clustering, chimera detection, searching, masking, shuffling, parallellization, metagenomics, alignment, sequences, dereplication
Copyright
© 2016 Rognes et al.
Licence
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
Cite this article
Rognes T, Flouri T, Nichols B, Quince C, Mahé F. 2016. VSEARCH: a versatile open source tool for metagenomics. PeerJ Preprints 4:e2409v1

Abstract

Background. VSEARCH is an open source and free of charge multithreaded 64-bit tool for processing metagenomics nucleotide sequence data. It is designed as an alternative to the widely used USEARCH tool (Edgar 2010) for which the source code is not publicly available, algorithm details are only rudimentarily described, and only a memory-confined 32-bit version is freely available for academic use.

Methods. When searching nucleotide sequences, VSEARCH uses a fast heuristic based on words shared by the query and target sequences in order to quickly identify similar sequences, a similar strategy is probably used in USEARCH. VSEARCH then performs optimal global sequence alignment of the query against potential target sequences, using full dynamic programming instead of the seed-and-extend heuristic used by USEARCH. Pairwise alignments are computed in parallel using vectorisation and multiple threads.

Results. VSEARCH includes most commands for analysing nucleotide sequences available in USEARCH version 7 and several of those available in USEARCH version 8, including searching (exact or based on global alignment), clustering by similarity (using length pre-sorting, abundance pre-sorting or a user-defined order), chimera detection (reference-based or de novo), dereplication (full length or prefix), pairwise alignment, reverse complementation, sorting, and subsampling. VSEARCH also includes commands for FASTQ file processing, i.e. format detection, filtering, read quality statistics, and merging of paired reads. Furthermore, VSEARCH extends functionality with several new commands and improvements, including shuffling, rereplication, masking of low-complexity sequences with the well-known DUST algorithm, a choice among different similarity definitions, and FASTQ file format conversion. VSEARCH is here shown to be more accurate than USEARCH when performing searching, clustering, chimera detection and subsampling, while on a par with USEARCH for paired-ends read merging. VSEARCH is slower than USEARCH when performing clustering and chimera detection, but significantly faster when performing paired-end reads merging and dereplication. VSEARCH is available at https://github.com/torognes/vsearch under either the BSD 2-clause license or the GNU General Public License version 3.0.

Discussion. VSEARCH has been shown to be a fast, accurate and full-fledged alternative to USEARCH. A free and open-source versatile tool for sequence analysis is now available to the metagenomics community.

Author Comment

This is a preprint submission to PeerJ Preprints. It will soon be submitted to PeerJ for review.