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
|
|---|
