title: Accurate determination of microbial diversity from 454 pyrosequencing data.
abstract: We present an algorithm, PyroNoise, that clusters the flowgrams of 454 pyrosequencing reads using a distance measure that models sequencing noise. This infers the true sequences in a collection of amplicons. We pyrosequenced a known mixture of microbial 16S rDNA sequences extracted from a lake and found that without noise reduction the number of operational taxonomic units is overestimated but using PyroNoise it can be accurately calculated.
authors: Department of Civil Engineering, Rankine Building, University of Glasgow, Glasgow, UK. quince@civil.gla.ac.uk
authors: Christopher
authors: C
authors: Quince
authors: Anders
authors: A
authors: Lanzén
authors: Thomas P
authors: TP
authors: Curtis
authors: Russell J
authors: RJ
authors: Davenport
authors: Neil
authors: N
authors: Hall
authors: Ian M
authors: IM
authors: Head
authors: L Fiona
authors: LF
authors: Read
authors: William T
authors: WT
authors: Sloan
mesh_terms: D000465:Algorithms; D001419:Bacteria / Q000235:genetics*; D014644:Genetic Variation; D008957:Models, Genetic; D016133:Polymerase Chain Reaction; D012329:RNA, Bacterial / Q000235:genetics; D012336:RNA, Ribosomal, 16S / Q000235:genetics; D017422:Sequence Analysis, DNA / Q000379:methods*; D012984:Software
chemical_list: D012329:RNA, Bacterial; D012336:RNA, Ribosomal, 16S