scholarly journals Microalgae community structure analysis based on 18S rDNA amplification from DNA extracted directly from soil as a potential soil bioindicator

2005 ◽  
Vol 25 (2) ◽  
pp. 285-291 ◽  
Author(s):  
A. Bérard ◽  
U. Dorigo ◽  
J. F. Humbert ◽  
F. Martin-Laurent
Keyword(s):  
Community Structure ◽  
Structure Analysis ◽  
18S Rdna ◽  
Rdna Amplification

THE ESTIMATION OF BACTERIA MAT AND METHANE PLUME FORMATION TREND BY COMMUNITY STRUCTURE ANALYSIS OF METHANE RELATED ARCHAEA

2017 ◽  
Author(s):  
Takumi Imajo ◽  
◽  
Takeshi Kobayashi ◽  
Takeshi Terahara ◽  
Chiaki Imada ◽  
...  
Keyword(s):  
Community Structure ◽  
Structure Analysis

scholarly journals Spatial organization and drivers of the virtual water trade: a community-structure analysis

2012 ◽  
Vol 7 (3) ◽  
pp. 034007 ◽  
Author(s):  
Paolo D’Odorico ◽  
Joel Carr ◽  
Francesco Laio ◽  
Luca Ridolfi
Keyword(s):  
Community Structure ◽  
Structure Analysis ◽  
Spatial Organization ◽  
Virtual Water ◽  
Virtual Water Trade

Community Structure Analysis and Biodegradation Potential of Aniline-Degrading Bacteria in Biofilters

2018 ◽  
Vol 75 (7) ◽  
pp. 918-924 ◽  
Author(s):  
Luanfeng Hou ◽  
Qingping Wu ◽  
Qihui Gu ◽  
Qin Zhou ◽  
Jumei Zhang
Keyword(s):  
Community Structure ◽  
Structure Analysis ◽  
Degrading Bacteria

REVISITING MODULES (AND CENTERS) IN STAPHYLOCOCCUS AUREUS METABOLIC NETWORK WITH LINK CLUSTERING

2012 ◽  
Vol 20 (01) ◽  
pp. 57-66
Author(s):  
DE-WU DING ◽  
LONG YING
Keyword(s):  
Staphylococcus Aureus ◽  
Community Structure ◽  
Metabolic Network ◽  
Structure Analysis ◽  
Large Scale ◽  
Metabolic Networks ◽  
Clustering Algorithm ◽  
Functional Modules ◽  
Analysis Methods

Community structure analysis methods are important tools in modeling and analyzing large-scale metabolic networks. However, traditional community structure methods are mainly solved by clustering nodes, which results in each metabolite belonging to only a single community, which limits their usefulness in the study of metabolic networks. In the present paper, we analyze the community structure and functional modules in the Staphylococcus aureus (S. aureus) metabolic network, using a link clustering algorithm, and we obtain 10 functional modules with better biological insights, which give better results than our previous study. We also evaluate the essentiality of nodes in S. aureus metabolic networks. We suggest that link clustering could identify functional modules and key metabolites in metabolic networks.

25S-18S rDNA intergenic spacer ofNicotiana sylvestris (Solanaceae): Primary and secondary structure analysis

1999 ◽  
Vol 218 (1-2) ◽  
pp. 89-97 ◽  
Author(s):  
R. A. Volkov ◽  
A. Bachmair ◽  
I. I. Panchuk ◽  
S. S. Kostyshyn ◽  
D. Schweizer
Keyword(s):  
Secondary Structure ◽  
Structure Analysis ◽  
18S Rdna ◽  
Intergenic Spacer ◽  
Secondary Structure Analysis ◽  
Rdna Intergenic Spacer
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