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PMID: 17892477 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Review

Multivariate analyses in microbial ecology.

FEMS microbiology ecology ·Vol. 62 ·No. 2 ·2007-11-00 ·Pages 142-60

Ramette A

Abstract

Environmental microbiology is undergoing a dramatic revolution due to the increasing accumulation of biological information and contextual environmental parameters. This will not only enable a better identification of diversity patterns, but will also shed more light on the associated environmental conditions, spatial locations, and seasonal fluctuations, which could explain such patterns. Complex ecological questions may now be addressed using multivariate statistical analyses, which represent a vast potential of techniques that are still underexploited. Here, well-established exploratory and hypothesis-driven approaches are reviewed, so as to foster their addition to the microbial ecologist toolbox. Because such tools aim at reducing data set complexity, at identifying major patterns and putative causal factors, they will certainly find many applications in microbial ecology.

MeSH Terms
Data Interpretation, Statistical Ecosystem Environmental Microbiology Multivariate Analysis
Authors & Affiliations
1 authors, click to expand affiliations / ORCID
Ramette Alban
Microbial habitat group, Max Planck Institute for Marine Microbiology, Bremen, Germany. aramette@mpi-bremen.de
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Article Info
Journal
FEMS microbiology ecology
Abbr.
FEMS Microbiol Ecol
ISSN
0168-6496
DOI
10.1111/j.1574-6941.2007.00375.x
Email
aramette@mpi-bremen.de
Published
2007-11-00
Epub
2007-00-20
Pages
142-60
Language
English
Region
England
NLM ID
8901229
PMCID
PMC2121141
Subset
IM
External Links
PubMed source DOI: 10.1111/j.1574-6941.2007.00375.x PMC Full Text View journal details
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