Hydrocarbon and lipid microbiology protocols : statistics, data analysis, bioinformatics and modelling /

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Bibliographic Details
Imprint:Berlin : Springer, 2016.
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
Hidden Bibliographic Details
Other authors / contributors:McGenity, Terry J., editor.
Timmis, K. N., editor.
Nogales, Balbina, editor.
ISBN:9783662493106
3662493101
9783662493113
366249311X
9783662570005
3662570009
9783662493090
3662493098
Digital file characteristics:text file
PDF
Notes:Includes bibliographical references.
Online resource; title from PDF title page (SpringerLink, viewed August 18, 2016).
Summary: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.
Other form:Print version: Hydrocarbon and lipid microbiology protocols. Berlin : Springer, 2016 9783662493090 3662493098
Standard no.:10.1007/978-3-662-49310-6

MARC

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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. 
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