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Updated: Jun 21, 2026

Pyrosequencing for Microbial Identification and Characterization
Published on: August 22, 2013
Accurate determination of microbial diversity from 454 pyrosequencing data
Christopher Quince1, Anders Lanzén, Thomas P Curtis
1Department of Civil Engineering, Rankine Building, University of Glasgow, Glasgow, UK. quince@civil.gla.ac.uk
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.
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