| 书目名称 | Hydrocarbon and Lipid Microbiology Protocols | | 副标题 | Statistics, Data Ana | | 编辑 | Terry J. McGenity,Kenneth N. Timmis,Balbina Nogale | | 视频video | | | 概述 | Offers readily reproducible, step-by-step laboratory methods.Provides helpful tips and tricks to complement the protocols.Includes troubleshooting advice.Features practical laboratory guidelines to pr | | 丛书名称 | Springer Protocols Handbooks | | 图书封面 |  | | 描述 | This Volume covers protocols for in-silico approaches to hydrocarbon microbiology, including the selection and use of appropriate statistical tools for experimental design replication, data analysis, and computer-assisted approaches to data storage, management and utilisation. The application of algorithms to analyse the composition and function of microbial communities is presented, as are prediction tools for biodegradation and protein interactions. The basics of a major open-source programming language, Python, are explained. Protocols for calculating reaction kinetics and thermodynamics are presented, and modelling the environmental fate of hydrocarbons during bioremediation is explained. With the exception of molecular biology studies of molecular interactions, the use of statistics is absolutely essential for both experimental design and data analysis in microbiological research, and indeed in the biomedical sciences in general. Moreover, studies of highly varying systems call for the modelling and/or application of theoretical frameworks. Thus, while two protocols in this Volume are specific to hydrocarbon microbiology, the others are generic, and as such will be of use to r | | 出版日期 | Book 2016 | | 关键词 | Biodegradation; Hydrocarbon bioremediation; Analysis of microbial communities; Ecological network theor | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-662-49310-6 | | isbn_softcover | 978-3-662-57000-5 | | isbn_ebook | 978-3-662-49310-6Series ISSN 1949-2448 Series E-ISSN 1949-2456 | | issn_series | 1949-2448 | | copyright | Springer-Verlag Berlin Heidelberg 2016 |
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发表于 2025-3-21 17:47:53
