DMSC: A Dynamic Multi-Seeds Method for Clustering 16S rRNA Sequences Into OTUs
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[1] Susan M. Huse,et al. Ironing out the wrinkles in the rare biosphere through improved OTU clustering , 2010, Environmental microbiology.
[2] Adam Godzik,et al. Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences , 2006, Bioinform..
[3] N. Pace,et al. Rapid determination of 16S ribosomal RNA sequences for phylogenetic analyses. , 1985, Proceedings of the National Academy of Sciences of the United States of America.
[4] Robert C. Edgar,et al. Taxonomy annotation and guide tree errors in 16S rRNA databases , 2018, PeerJ.
[5] Shao-Wu Zhang,et al. MtHc: a motif-based hierarchical method for clustering massive 16S rRNA sequences into OTUs. , 2015, Molecular bioSystems.
[6] Xiaoyu Wang,et al. M-pick, a modularity-based method for OTU picking of 16S rRNA sequences , 2013, BMC Bioinformatics.
[7] Gail L. Rosen,et al. Quikr: a method for rapid reconstruction of bacterial communities via compressive sensing , 2013, Bioinform..
[8] Gerhard G. Thallinger,et al. Wx Scout Fashion Sneaker Splash Navy Women's Keds qAS4tR1wn4 for bawln.com , 2009 .
[9] Xiaoyu Wang,et al. A large-scale benchmark study of existing algorithms for taxonomy-independent microbial community analysis , 2012, Briefings Bioinform..
[10] Wei Chen,et al. MSClust: A Multi-Seeds based Clustering algorithm for microbiome profiling using 16S rRNA sequence. , 2013, Journal of microbiological methods.
[11] N. Shental,et al. Combining 16S rRNA gene variable regions enables high-resolution microbial community profiling , 2017, Microbiome.
[12] Shao-Wu Zhang,et al. Exploring the interaction patterns in seasonal marine microbial communities with network analysis , 2013, 2013 7th International Conference on Systems Biology (ISB).
[13] Yongmei Cheng,et al. A Comparison of Methods for Clustering 16S rRNA Sequences into OTUs , 2013, PloS one.
[14] Shao-Wu Zhang,et al. NPBSS: a new PacBio sequencing simulator for generating the continuous long reads with an empirical model , 2018, BMC Bioinformatics.
[15] Rafael P. Mellado,et al. Estimation of bacterial diversity using next generation sequencing of 16S rDNA: a comparison of different workflows , 2011, BMC Bioinformatics.
[16] C. von Mering,et al. HPC-CLUST: distributed hierarchical clustering for large sets of nucleotide sequences , 2013, Bioinformatics.
[17] Sarah L. Westcott,et al. De novo clustering methods outperform reference-based methods for assigning 16S rRNA gene sequences to operational taxonomic units , 2015, PeerJ.
[18] Shao-Wu Zhang,et al. DMclust, a Density‐based Modularity Method for Accurate OTU Picking of 16S rRNA Sequences , 2017, Molecular informatics.
[19] Jukka Corander,et al. Bayesian estimation of bacterial community composition from 454 sequencing data , 2012, Nucleic acids research.
[20] Christian von Mering,et al. Limits to robustness and reproducibility in the demarcation of operational taxonomic units. , 2015, Environmental microbiology.
[21] Robert C. Edgar,et al. BIOINFORMATICS APPLICATIONS NOTE , 2001 .
[22] Yunpeng Cai,et al. ESPRIT-Tree: hierarchical clustering analysis of millions of 16S rRNA pyrosequences in quasilinear computational time , 2011, Nucleic acids research.
[23] Quan Pan,et al. Classifier Fusion With Contextual Reliability Evaluation , 2018, IEEE Transactions on Cybernetics.
[24] R. Knight,et al. The Human Microbiome Project , 2007, Nature.
[25] Ben Nichols,et al. Distributed under Creative Commons Cc-by 4.0 Vsearch: a Versatile Open Source Tool for Metagenomics , 2022 .
[26] Shao-Wu Zhang,et al. Exploring the interaction patterns among taxa and environments from marine metagenomic data , 2016, Quantitative Biology.
[27] Ting Chen,et al. Clustering 16S rRNA for OTU prediction: a method of unsupervised Bayesian clustering , 2011, Bioinform..
[28] Bertil Schmidt,et al. DySC: software for greedy clustering of 16S rRNA reads , 2012, Bioinform..
[29] E. Myers,et al. Basic local alignment search tool. , 1990, Journal of molecular biology.
[30] Shao-Wu Zhang,et al. DBH: A de Bruijn graph-based heuristic method for clustering large-scale 16S rRNA sequences into OTUs. , 2017, Journal of theoretical biology.
[31] Wei Zheng,et al. ESPRIT-Forest: Parallel clustering of massive amplicon sequence data in subquadratic time , 2017, PLoS Comput. Biol..
[32] Quan Pan,et al. Combination of Classifiers With Optimal Weight Based on Evidential Reasoning , 2018, IEEE Transactions on Fuzzy Systems.
[33] James R. Cole,et al. Ribosomal Database Project: data and tools for high throughput rRNA analysis , 2013, Nucleic Acids Res..
[34] Lu Wang,et al. The NIH Human Microbiome Project. , 2009, Genome research.
[35] Steven Salzberg,et al. BIOINFORMATICS ORIGINAL PAPER , 2004 .
[36] Patrick D. Schloss,et al. Assessing and Improving Methods Used in Operational Taxonomic Unit-Based Approaches for 16S rRNA Gene Sequence Analysis , 2011, Applied and Environmental Microbiology.
[37] William G. Mckendree,et al. ESPRIT: estimating species richness using large collections of 16S rRNA pyrosequences , 2009, Nucleic acids research.
[38] Patrick D Schloss,et al. OptiClust, an Improved Method for Assigning Amplicon-Based Sequence Data to Operational Taxonomic Units , 2017, mSphere.
[39] Patrick D Schloss,et al. Application of a Database-Independent Approach To Assess the Quality of Operational Taxonomic Unit Picking Methods , 2016, mSystems.
[40] William A. Walters,et al. QIIME allows analysis of high-throughput community sequencing data , 2010, Nature Methods.
[41] Ying Huang,et al. bioOTU: An Improved Method for Simultaneous Taxonomic Assignments and Operational Taxonomic Units Clustering of 16s rRNA Gene Sequences , 2016, J. Comput. Biol..
[42] Jose A Navas-Molina,et al. Deblur Rapidly Resolves Single-Nucleotide Community Sequence Patterns , 2017, mSystems.