PhylOTU: a high-throughput procedure quantifies microbial community diversity and resolves novel taxa from metagenomic data

Microbial diversity is typically characterized by clustering ribosomal RNA (SSU-rRNA) sequences into operational taxonomic units (OTUs). Targeted sequencing of environmental SSU-rRNA markers via PCR may fail to detect OTUs due to biases in priming and amplification. Analysis of shotgun sequenced env...

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Veröffentlicht in:	PLoS computational biology 2011-01, Vol.7 (1), p.e1001061-e1001061
Hauptverfasser:	Sharpton, Thomas J, Riesenfeld, Samantha J, Kembel, Steven W, Ladau, Joshua, O'Dwyer, James P, Green, Jessica L, Eisen, Jonathan A, Pollard, Katherine S
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Bias Biodiversity Cluster Analysis Computational Biology/Protein Homology Detection Computer Science/Applications Ecology/Community Ecology and Biodiversity Ecology/Environmental Microbiology Ecology/Marine and Freshwater Ecology Evolutionary Biology/Microbial Evolution and Genomics Genetics and Genomics/Microbial Evolution and Genomics Genomics Marine and Aquatic Sciences/Bioinformatics Marine and Aquatic Sciences/Ecology Methods Microbiology Microbiology/Environmental Microbiology Microbiology/Microbial Evolution and Genomics Microorganisms Phylogeny Polymerase Chain Reaction RNA, Ribosomal - genetics Taxonomy
Online-Zugang:	Volltext
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