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      Swarm v2: highly-scalable and high-resolution amplicon clustering

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          Abstract

          Previously we presented Swarm v1, a novel and open source amplicon clustering program that produced fine-scale molecular operational taxonomic units (OTUs), free of arbitrary global clustering thresholds and input-order dependency. Swarm v1 worked with an initial phase that used iterative single-linkage with a local clustering threshold ( d), followed by a phase that used the internal abundance structures of clusters to break chained OTUs. Here we present Swarm v2, which has two important novel features: (1) a new algorithm for d = 1 that allows the computation time of the program to scale linearly with increasing amounts of data; and (2) the new fastidious option that reduces under-grouping by grafting low abundant OTUs (e.g., singletons and doubletons) onto larger ones. Swarm v2 also directly integrates the clustering and breaking phases, dereplicates sequencing reads with d = 0, outputs OTU representatives in fasta format, and plots individual OTUs as two-dimensional networks.

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          Most cited references16

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          Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences

          Increased reliance on computational approaches in the life sciences has revealed grave concerns about how accessible and reproducible computation-reliant results truly are. Galaxy http://usegalaxy.org, an open web-based platform for genomic research, addresses these problems. Galaxy automatically tracks and manages data provenance and provides support for capturing the context and intent of computational methods. Galaxy Pages are interactive, web-based documents that provide users with a medium to communicate a complete computational analysis.
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            Swarm: robust and fast clustering method for amplicon-based studies

            Popular de novo amplicon clustering methods suffer from two fundamental flaws: arbitrary global clustering thresholds, and input-order dependency induced by centroid selection. Swarm was developed to address these issues by first clustering nearly identical amplicons iteratively using a local threshold, and then by using clusters’ internal structure and amplicon abundances to refine its results. This fast, scalable, and input-order independent approach reduces the influence of clustering parameters and produces robust operational taxonomic units.
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              Ocean plankton. Determinants of community structure in the global plankton interactome.

              Species interaction networks are shaped by abiotic and biotic factors. Here, as part of the Tara Oceans project, we studied the photic zone interactome using environmental factors and organismal abundance profiles and found that environmental factors are incomplete predictors of community structure. We found associations across plankton functional types and phylogenetic groups to be nonrandomly distributed on the network and driven by both local and global patterns. We identified interactions among grazers, primary producers, viruses, and (mainly parasitic) symbionts and validated network-generated hypotheses using microscopy to confirm symbiotic relationships. We have thus provided a resource to support further research on ocean food webs and integrating biological components into ocean models.
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                Author and article information

                Contributors
                Journal
                PeerJ
                PeerJ
                PeerJ
                PeerJ
                PeerJ
                PeerJ Inc. (San Francisco, USA )
                2167-8359
                10 December 2015
                2015
                : 3
                : e1420
                Affiliations
                [1 ]Department of Ecology, Technische Universität Kaiserslautern , Kaiserslautern, Germany
                [2 ]Department of Informatics, University of Oslo , Oslo, Norway
                [3 ]Department of Microbiology, Oslo University Hospital, Rikshospitalet , Oslo, Norway
                [4 ]Warwick Medical School, University of Warwick , Warwick, United Kingdom
                [5 ]UMR 7144, EPEP–Évolution des Protistes et des Écosystèmes Pélagiques, Station Biologique de Roscoff, CNRS , Roscoff, France
                [6 ]UMR7144 Station Biologique de Roscoff, Sorbonne Universités, UPMC Univ Paris 06 , Roscoff, France
                Article
                1420
                10.7717/peerj.1420
                4690345
                26713226
                f120ce04-7df0-46c1-aff9-2c483989061a
                © 2015 Mahé et al.

                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) and either DOI or URL of the article must be cited.

                History
                : 4 August 2015
                : 31 October 2015
                Funding
                Funded by: Deutsche Forschungsgemeinschaft
                Award ID: #DU1319/1-1
                Funded by: EPSRC Career Acceleration Fellowship
                Award ID: EP/H003851/1
                Funded by: EU EraNet BiodivErsA program BioMarKs
                Award ID: #2008-6530
                Funded by: French government “Investissements d’Avenir” project OCEANOMICS
                Award ID: ANR-11-BTBR-0008
                Funded by: EU FP7 program MicroB3
                Award ID: 287589
                FM and MD were supported by the Deutsche Forschungsgemeinschaft (grant #DU1319/1-1). CQ is funded by an EPSRC Career Acceleration Fellowship—EP/H003851/1. CdeV were supported by the EU EraNet BiodivErsA program BioMarKs (grant #2008-6530) and the French government “Investissements d’Avenir” project OCEANOMICS (ANR-11-BTBR-0008) and the EU FP7 program MicroB3 (contract number 287589). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Biodiversity
                Bioinformatics
                Environmental Sciences
                Microbiology
                Molecular Biology

                environmental diversity,barcoding,molecular operational taxonomic units

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