Affiliation:
1. Infrastructure and Environment, James Watt School of Engineering, University of Glasgow, Glasgow, Scotland
2. Microbiology, School of Natural Sciences, National University of Ireland, Galway, Ireland
3. Université de La Rochelle, CNRS, UMR 7266, LIENSs, La Rochelle, France
Abstract
Several analysis pipelines are available to microbial ecologists to process amplicon sequencing data, yet to date, there is no consensus as to the most appropriate method, and it becomes more difficult for genes that encode a specific function (functional genes). Standardized approaches need to be adopted to increase the reliability and reproducibility of environmental amplicon-sequencing-based data sets.
Funder
Environmental Protection Agency
UKRI | Natural Environment Research Council
Royal Academy of Engineering
UKRI | Engineering and Physical Sciences Research Council
Thomas Crawford Hayes NUIG
Harry Smith Vacation Studenship
Mobility Grant French Enbassy in Ireland
Microbiology Society Research Visit Grant
University of Glasgow | James Watt School of Engineering, University of Glasgow
Publisher
American Society for Microbiology
Subject
Molecular Biology,Microbiology
Cited by
10 articles.
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