A large-scale benchmark study of existing algorithms for taxonomy-independent microbial community analysis.
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Considerations For Optimizing Microbiome Analysis Using a Marker GeneCensusing marine eukaryotic diversity in the twenty-first centuryNext generation sequencing data of a defined microbial mock community.Escherichia coli O157:H7 super-shedder and non-shedder feedlot steers harbour distinct fecal bacterial communitiesSurprisingly extensive mixed phylogenetic and ecological signals among bacterial Operational Taxonomic UnitsUnraveling the outcome of 16S rDNA-based taxonomy analysis through mock data and simulations.Metagenomics: tools and insights for analyzing next-generation sequencing data derived from biodiversity studies.Assembling the challenging puzzle of algal biodiversity: species delimitation within the genus Asterochloris (Trebouxiophyceae, Chlorophyta).MSClust: A Multi-Seeds based Clustering algorithm for microbiome profiling using 16S rRNA sequence.A general species delimitation method with applications to phylogenetic placements.Improved inference of taxonomic richness from environmental DNAFrom reads to operational taxonomic units: an ensemble processing pipeline for MiSeq amplicon sequencing dataTwo-stage clustering (TSC): a pipeline for selecting operational taxonomic units for the high-throughput sequencing of PCR amplicons.Bayesian estimation of bacterial community composition from 454 sequencing dataComposition and similarity of bovine rumen microbiota across individual animals.Defining the human microbiome.Distribution-based clustering: using ecology to refine the operational taxonomic unit.A direct PCR approach to accelerate analyses of human-associated microbial communitiesCharacterization of the Gut Microbiome Using 16S or Shotgun MetagenomicsDistortions in development of intestinal microbiota associated with late onset sepsis in preterm infants.M-pick, a modularity-based method for OTU picking of 16S rRNA sequences.Comparative metagenomic and rRNA microbial diversity characterization using archaeal and bacterial synthetic communities.Discovering new indicators of fecal pollutionClustering evolving proteins into homologous familiesCLUSTOM: a novel method for clustering 16S rRNA next generation sequences by overlap minimization.The inconstant gut microbiota of Drosophila species revealed by 16S rRNA gene analysis.Survival in hostile territory: the microbiota of the stomach.A comparison of methods for clustering 16S rRNA sequences into OTUs.Disturbance and temporal partitioning of the activated sludge metacommunity.Stability and phylogenetic correlation in gut microbiota: lessons from ants and apes.The bacterial communities in plant phloem-sap-feeding insects.ESPRIT-Tree: hierarchical clustering analysis of millions of 16S rRNA pyrosequences in quasilinear computational timeEcological consistency of SSU rRNA-based operational taxonomic units at a global scale.Molecular ecological tools to decipher the role of our microbial mass in obesity.Limits to robustness and reproducibility in the demarcation of operational taxonomic units.Minimum entropy decomposition: unsupervised oligotyping for sensitive partitioning of high-throughput marker gene sequences.Divergence thresholds and divergent biodiversity estimates: can metabarcoding reliably describe zooplankton communities?Toward accurate molecular identification of species in complex environmental samples: testing the performance of sequence filtering and clustering methodsFUNGAL SYMBIONTS. Global assessment of arbuscular mycorrhizal fungus diversity reveals very low endemism.Improved OTU-picking using long-read 16S rRNA gene amplicon sequencing and generic hierarchical clustering.
P2860
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P2860
A large-scale benchmark study of existing algorithms for taxonomy-independent microbial community analysis.
description
2011 nî lūn-bûn
@nan
2011 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
A large-scale benchmark study ...... microbial community analysis.
@ast
A large-scale benchmark study ...... microbial community analysis.
@en
type
label
A large-scale benchmark study ...... microbial community analysis.
@ast
A large-scale benchmark study ...... microbial community analysis.
@en
prefLabel
A large-scale benchmark study ...... microbial community analysis.
@ast
A large-scale benchmark study ...... microbial community analysis.
@en
P2093
P2860
P356
P1476
A large-scale benchmark study ...... microbial community analysis.
@en
P2093
Volker Mai
William G Farmerie
Xiaoyu Wang
Yunpeng Cai
P2860
P304
P356
10.1093/BIB/BBR009
P577
2011-04-27T00:00:00Z