Hydrocarbon and Lipid Microbiology Protocols: Statistics, Data Analysis, Bioinformatics and Modelling
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 alg...
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Weitere Verfasser: | , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2016
|
Ausgabe: | 1st ed. 2016 |
Schriftenreihe: | Springer Protocols Handbooks
|
Schlagworte: | |
Online-Zugang: | UBR01 TUM01 URL des Erstveröffentlichers |
Zusammenfassung: | 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 researchers investigating a broad range of topics in microbiology and the biomedical sciences in general. Hydrocarbon and Lipid Microbiology Protocols There are tens of thousands of structurally different hydrocarbons, hydrocarbon derivatives and lipids, and a wide array of these molecules are required for cells to function. The global hydrocarbon cycle, which is largely driven by microorganisms, has a major impact on our environment and climate. Microbes are responsible for cleaning up the environmental pollution caused by the exploitation of hydrocarbon reservoirs and will also be pivotal in reducing our reliance on fossil fuels by providing biofuels, plastics and industrial chemicals. Gaining an understanding of the relevant functions of the wide range of microbes that produce, consume and modify hydrocarbons and related compounds will be key to responding to these challenges. This comprehensive collection of current and emerging protocols will facilitate acquisition of this understanding and exploitation of useful activities of such microbes |
Beschreibung: | 1 Online-Ressource (XII, 180 p) |
ISBN: | 9783662493106 |
DOI: | 10.1007/978-3-662-49310-6 |
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520 | |a 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 researchers investigating a broad range of topics in microbiology and the biomedical sciences in general. Hydrocarbon and Lipid Microbiology Protocols There are tens of thousands of structurally different hydrocarbons, hydrocarbon derivatives and lipids, and a wide array of these molecules are required for cells to function. The global hydrocarbon cycle, which is largely driven by microorganisms, has a major impact on our environment and climate. Microbes are responsible for cleaning up the environmental pollution caused by the exploitation of hydrocarbon reservoirs and will also be pivotal in reducing our reliance on fossil fuels by providing biofuels, plastics and industrial chemicals. | ||
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spelling | Hydrocarbon and Lipid Microbiology Protocols Statistics, Data Analysis, Bioinformatics and Modelling edited by Terry J. McGenity, Kenneth N. Timmis, Balbina Nogales Fernández 1st ed. 2016 Berlin, Heidelberg Springer Berlin Heidelberg 2016 1 Online-Ressource (XII, 180 p) txt rdacontent c rdamedia cr rdacarrier Springer Protocols Handbooks 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 researchers investigating a broad range of topics in microbiology and the biomedical sciences in general. Hydrocarbon and Lipid Microbiology Protocols There are tens of thousands of structurally different hydrocarbons, hydrocarbon derivatives and lipids, and a wide array of these molecules are required for cells to function. The global hydrocarbon cycle, which is largely driven by microorganisms, has a major impact on our environment and climate. Microbes are responsible for cleaning up the environmental pollution caused by the exploitation of hydrocarbon reservoirs and will also be pivotal in reducing our reliance on fossil fuels by providing biofuels, plastics and industrial chemicals. Gaining an understanding of the relevant functions of the wide range of microbes that produce, consume and modify hydrocarbons and related compounds will be key to responding to these challenges. This comprehensive collection of current and emerging protocols will facilitate acquisition of this understanding and exploitation of useful activities of such microbes Life Sciences Microbiology Biochemical Engineering Life sciences Biochemical engineering McGenity, Terry J. edt Timmis, Kenneth N. edt Nogales Fernández, Balbina edt Erscheint auch als Druck-Ausgabe 9783662493090 https://doi.org/10.1007/978-3-662-49310-6 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Hydrocarbon and Lipid Microbiology Protocols Statistics, Data Analysis, Bioinformatics and Modelling Life Sciences Microbiology Biochemical Engineering Life sciences Biochemical engineering |
title | Hydrocarbon and Lipid Microbiology Protocols Statistics, Data Analysis, Bioinformatics and Modelling |
title_auth | Hydrocarbon and Lipid Microbiology Protocols Statistics, Data Analysis, Bioinformatics and Modelling |
title_exact_search | Hydrocarbon and Lipid Microbiology Protocols Statistics, Data Analysis, Bioinformatics and Modelling |
title_full | Hydrocarbon and Lipid Microbiology Protocols Statistics, Data Analysis, Bioinformatics and Modelling edited by Terry J. McGenity, Kenneth N. Timmis, Balbina Nogales Fernández |
title_fullStr | Hydrocarbon and Lipid Microbiology Protocols Statistics, Data Analysis, Bioinformatics and Modelling edited by Terry J. McGenity, Kenneth N. Timmis, Balbina Nogales Fernández |
title_full_unstemmed | Hydrocarbon and Lipid Microbiology Protocols Statistics, Data Analysis, Bioinformatics and Modelling edited by Terry J. McGenity, Kenneth N. Timmis, Balbina Nogales Fernández |
title_short | Hydrocarbon and Lipid Microbiology Protocols |
title_sort | hydrocarbon and lipid microbiology protocols statistics data analysis bioinformatics and modelling |
title_sub | Statistics, Data Analysis, Bioinformatics and Modelling |
topic | Life Sciences Microbiology Biochemical Engineering Life sciences Biochemical engineering |
topic_facet | Life Sciences Microbiology Biochemical Engineering Life sciences Biochemical engineering |
url | https://doi.org/10.1007/978-3-662-49310-6 |
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