作者
Luke K Ursell, Adam Robbins-Pianka, Nicole Scott, Antonio Gonzalez, Dan Knights, Jai Ram Rideout, Ajay Kshatriya, J Gregory Caporaso, Rob Knight
发表日期
2016
期刊
Hydrocarbon and Lipid Microbiology Protocols: Statistics, Data Analysis, Bioinformatics and Modelling
页码范围
89-113
出版商
Springer Berlin Heidelberg
简介
Interest in the microbiology of hydrocarbon-rich environments has increased rapidly in recent years, with applications ranging from oil spill cleanup to reservoir management. Modern techniques for reading out microbial communities using high-throughput sequencing produce vast amounts of data that cannot be processed by traditional methods. Here, we describe the use of the QIIME (Quantitative Insights into Microbial Ecology) pipeline for analyzing hydrocarbon-rich samples. This pipeline starts with the raw data from high-throughput sequence analysis and produces graphical and statistical analyses suitable for publication or for decision support. We illustrate the use of the QIIME pipeline using several recent datasets including sediments and water from the Deepwater Horizon spill and crude oil from a hydraulically fractured oil field in the United States, allowing better understanding of the microbiology of …
引用总数
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学术搜索中的文章
LK Ursell, A Robbins-Pianka, N Scott, A Gonzalez… - … and Lipid Microbiology Protocols: Statistics, Data …, 2016