Open AccessAccurate determination of microbial diversity from 454 pyrosequencing data
Author(s) -
Christopher Quince,
Anders Lanzén,
Thomas P. Curtis,
Russell J. Davenport,
Neil Hall,
Ian M. Head,
L. F. Read,
William T. Sloan
Publication year - 2009
Publication title -
nature methods
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 19.469
H-Index - 318
eISSN - 1548-7105
pISSN - 1548-7091
DOI - 10.1038/nmeth.1361
Subject(s) - pyrosequencing , metagenomics , amplicon , biology , noise (video) , computational biology , dna sequencing , 16s ribosomal rna , sequence (biology) , genetics , computer science , artificial intelligence , gene , polymerase chain reaction , image (mathematics)
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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