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A microbiology primer for pyrosequencing
Department of Mathematics and Statistics, University of Guelph, Guelph ON, Canada.ORCID iD: 0000-0003-2437-1300
Department of Mathematics and Statistics, University of Guelph, Guelph ON, Canada.
Department of Pathobiology, University of Guelph, Guelph ON, Canada.
Department of Mathematics and Statistics, University of Guelph, Guelph ON, Canada.
2012 (English)In: Quantitative Bio-Science, ISSN 2288-1344, Vol. 31, no 2, p. 53-81Article in journal (Refereed) Published
Abstract [en]

Metagenomic analysis is a very rich area for understanding the microbiology of organisms. Once the data has been assembled mathematical and statistical methods can be applied providing insights into biological properties that created the data in the first place. The foundations however, require some knowledge of microbiology which is not usually part of a mathematician’s nor a statistician’s training, and therefore, the data creation can itself be quite mysterious. In this paper we attempt to explain the microbiology to mathematicians and statisticians in a way that would hopefully provide insights into the data generating process. In particular our approach is specific to the open-source bioinformatics toolbox mothur. We will assume the reader has very little microbiology training but has some mathematical skills. It is the endeavor of this write-up to help bridge a needed gap.

Place, publisher, year, edition, pages
Daegu, Korea: Natural Science Institute, College of Natural Sciences, Keimyung University , 2012. Vol. 31, no 2, p. 53-81
Keywords [en]
BLAST, Clustering, Multivariate analysis, Operational taxonomic unit, Reference library
National Category
Natural Sciences Bioinformatics (Computational Biology)
Identifiers
URN: urn:nbn:se:oru:diva-65207OAI: oai:DiVA.org:oru-65207DiVA, id: diva2:1185420
Available from: 2018-02-24 Created: 2018-02-24 Last updated: 2018-05-15Bibliographically approved

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A Microbiology Primer for Pyrosequencing

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Rush, Stephen

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