ePrints

Accurate determination of microbial diversity from 454 pyrosequencing data

Lookup NU author(s): Professor Thomas CurtisORCiD, Professor Russell DavenportORCiD, Professor Ian Head, Fiona Read, Professor William Sloan

Downloads

• Accepted version [.pdf]

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.

Publication metadata

Author(s): Quince C, Lanzen A, Curtis TP, Davenport RJ, Hall N, Head IM, Read LF, Sloan WT

Publication type: Article

Publication status: Published

Journal: Nature Methods

Year: 2009

Volume: 6

Issue: 9

Pages: 639-641

Date deposited: 11/06/2010

ISSN (print): 1548-7091

ISSN (electronic): 1548-7105

Publisher: Nature Publishing Group

URL: http://dx.doi.org/10.1038/NMETH.1361

DOI: 10.1038/NMETH.1361

Altmetrics

Share