Hydrocarbon and lipid microbiology protocols : statistics, data analysis, bioinformatics and modelling /
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Imprint: | Berlin : Springer, 2016. |
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Description: | 1 online resource (xii, 180 pages) |
Language: | English |
Series: | Springer protocols handbooks, 1949-2448 Springer protocols (Series) |
Subject: | |
Format: | E-Resource Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11265426 |
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245 | 0 | 0 | |a Hydrocarbon and lipid microbiology protocols : |b statistics, data analysis, bioinformatics and modelling / |c Terry J. McGenity, Kenneth N. Timmis, Balbina Nogales, editors. |
264 | 1 | |a Berlin : |b Springer, |c 2016. | |
300 | |a 1 online resource (xii, 180 pages) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
347 | |a text file | ||
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490 | 1 | |a Springer protocols handbooks, |x 1949-2448 | |
504 | |a Includes bibliographical references. | ||
588 | 0 | |a Online resource; title from PDF title page (SpringerLink, viewed August 18, 2016). | |
520 | 8 | |a 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. | |
505 | 0 | |a Introduction to computer-assisted analysis in lipid and hydrocarbon microbiology -- Application of Ecological Network Theory -- Statistical tools for data analysis -- Statistical tools for study design and replication -- MG-RAST, a metagenomics service for analysis of microbial community structure and function -- Using QIIME to evaluate the microbial communities within hydrocarbon environments -- Biodegradation Prediction Tools -- Predicting protein interactions -- Syntax and Semantics of Coding in Python -- Protocols for calculating reaction kinetics and thermodynamics -- Modelling the environmental fate of hydrocarbons during bioremediation. | |
650 | 0 | |a Lipids |v Laboratory manuals. | |
650 | 0 | |a Lipids |x Biotechnology |v Laboratory manuals. | |
650 | 0 | |a Hydrocarbons |v Laboratory manuals. | |
650 | 7 | |a Hydrocarbons. |2 fast |0 (OCoLC)fst00964828 | |
650 | 7 | |a Lipids. |2 fast |0 (OCoLC)fst00999367 | |
650 | 7 | |a Lipids |x Biotechnology. |2 fast |0 (OCoLC)fst00999370 | |
655 | 2 | |a Laboratory Manual. | |
655 | 4 | |a Electronic books. | |
655 | 7 | |a Laboratory manuals. |2 fast |0 (OCoLC)fst01920776 | |
655 | 7 | |a Laboratory manuals. |2 lcgft |0 http://id.loc.gov/authorities/genreForms/gf2014026120 | |
700 | 1 | |a McGenity, Terry J., |e editor. | |
700 | 1 | |a Timmis, K. N., |e editor. |0 http://id.loc.gov/authorities/names/n79107089 | |
700 | 1 | |a Nogales, Balbina, |e editor. | |
776 | 0 | 8 | |i Print version: |t Hydrocarbon and lipid microbiology protocols. |d Berlin : Springer, 2016 |z 9783662493090 |z 3662493098 |w (OCoLC)933719386 |
830 | 0 | |a Springer protocols (Series) |x 1949-2448 | |
903 | |a HeVa | ||
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928 | |t Library of Congress classification |a QP751 |l Online |c UC-FullText |u https://link.springer.com/10.1007/978-3-662-49310-6 |z Springer Nature |g ebooks |i 12539334 |