Journal
NATURE METHODS
Volume 6, Issue 9, Pages 639-U27Publisher
NATURE PUBLISHING GROUP
DOI: 10.1038/NMETH.1361
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Funding
- Lord Kelvin Glasgow University fellowship
- Engineering and Physical Sciences Research Council Advanced Fellowship
- Royal Society fellowship
- Natural Environment Research Council
- EPSRC [EP/H003851/1, EP/F007868/1, EP/F008473/1, EP/D073693/1] Funding Source: UKRI
- NERC [NE/D522211/1, NBAF010002] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [EP/F007868/1, EP/F008473/1, EP/H003851/1, EP/D073693/1] Funding Source: researchfish
- Natural Environment Research Council [NBAF010002, NE/D522211/1] Funding Source: researchfish
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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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