TBC: A Clustering Algorithm Based on Prokaryotic Taxonomy

High-throughput DNA sequencing technologies have revolutionized the study of microbial ecology. Massive sequencing of PCR amplicons of the 16S rRNA gene has been widely used to understand the microbial community structure of a variety of environmental samples. The resulting sequencing reads are clus...

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Bibliographic Details
Published in:	The journal of microbiology Vol. 50; no. 2; pp. 181 - 185
Main Authors:	Lee, J.H., Seoul National University, Seoul, Republic of Korea, Yi, H.N., Seoul National University, Seoul, Republic of Korea, Jeon, Y.S., Seoul National University, Seoul, Republic of Korea, Won, S.H., Chung-Ang University, Seoul, Republic of Korea, Chun, J.S., Seoul National University, Seoul, Republic of Korea
Format:	Journal Article
Language:	English
Published:	Heidelberg The Microbiological Society of Korea 01.04.2012 Springer Nature B.V 한국미생물학회
Subjects:	Algorithms Bacteria Bacteria - chemistry Bacteria - classification Bacteria - genetics Biomedical and Life Sciences BLASTClust CD-HIT chemistry classification Clustering clustering algorithm Community structure Ecological studies ESPRIT-Tree Genes genetics high-throughput nucleotide sequencing Life Sciences metagenome methods microbial communities Microbiology MOTHUR numerical taxonomy OTU Phylogenetics Phylogeny polymerase chain reaction Prokaryotic Cells Prokaryotic Cells - chemistry Prokaryotic Cells - classification pyrosequencing ribosomal RNA Sequence Alignment Sequence Analysis, DNA Sequence Analysis, DNA - methods Species diversity TAXONOMIA TAXONOMIE TAXONOMY TBC UCLUST 생물학 South Korea OTU clustering algorithm metagenome TBC MOTHUR ESPRIT-Tree UCLUST pyrosequencing BLASTClust CD-HIT
ISSN:	1225-8873, 1976-3794, 1976-3794
Online Access:	Get full text
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