Coverart for item
The Resource Hydrocarbon and lipid microbiology protocols : statistics, data analysis, bioinformatics and modelling, Terry J. McGenity, Kenneth N. Timmis, Balbina Nogales, editors

Hydrocarbon and lipid microbiology protocols : statistics, data analysis, bioinformatics and modelling, Terry J. McGenity, Kenneth N. Timmis, Balbina Nogales, editors

Label
Hydrocarbon and lipid microbiology protocols : statistics, data analysis, bioinformatics and modelling
Title
Hydrocarbon and lipid microbiology protocols
Title remainder
statistics, data analysis, bioinformatics and modelling
Statement of responsibility
Terry J. McGenity, Kenneth N. Timmis, Balbina Nogales, editors
Contributor
Editor
Subject
Genre
Language
eng
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
Member of
Cataloging source
GW5XE
Index
no index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Series statement
Springer protocols handbooks,
Hydrocarbon and lipid microbiology protocols : statistics, data analysis, bioinformatics and modelling, Terry J. McGenity, Kenneth N. Timmis, Balbina Nogales, editors
Label
Hydrocarbon and lipid microbiology protocols : statistics, data analysis, bioinformatics and modelling, Terry J. McGenity, Kenneth N. Timmis, Balbina Nogales, editors
Link
http://libproxy.rpi.edu/login?url=http://link.springer.com/10.1007/978-3-662-49310-6
Publication
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Antecedent source
file reproduced from an electronic resource
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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.
http://library.link/vocab/cover_art
https://contentcafe2.btol.com/ContentCafe/Jacket.aspx?Return=1&Type=S&Value=9783662493106&userID=ebsco-test&password=ebsco-test
Dimensions
unknown
http://library.link/vocab/discovery_link
{'f': 'http://opac.lib.rpi.edu/record=b3869191'}
Extent
1 online resource (xii, 180 pages).
File format
one file format
Form of item
online
Isbn
9783662493106
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Quality assurance targets
unknown
Reformatting quality
unknown
Specific material designation
remote

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