Sentence examples for microbial community patterns from inspiring English sources

This example demonstrated the ability of programming microbial consortia via rational design of cellular interactions by rewiring cellular communication systems, providing novel insights in understanding and programming microbial community patterns that orchestrate the complex coexistence of living systems.

There has been little understanding of soil microbial community patterns in phosphorus (P) processing in treatment wetlands.

Utilizing a combination of three sampling regimes (management, reach, catchment) was found to be effective in capturing microbial community patterns, as ANOVA results revealed nosZ gene abundance was significantly greater at the management rather than reach scale (p = 0.045; F = 3.311), although, no significant differences were observed in 16S rRNA or nirS between sampling scales (p > 0.05).

Our main findings center on the identification of microbial community patterns and specific bacterial groups that are altered by smoking.

In Additional file 2: Figure S2, gut and oral cavity microbial community patterns were only fit with one clustering criterion, gut consistent with K-means and oral cavity with hierarchical clustering.

Up to now, it is still unknown whether there are different microbial community patterns under the same environmental conditions in biogas reactors if stochastic factors are determining the microbial communities.

In summary, Meta-EC is an ensemble clustering framework for large-scale metagenomic data analysis and microbial community pattern detection.

In this subsection, we proposed a novel ensemble clustering framework, namely Meta-EC, to perform microbial community pattern detection.

To obtain a comprehensive view, we propose a novel ensemble clustering framework to mine the structure of microbial community pattern on large-scale metagenomic data.

Microbial community succession patterns in the SHARON reactor during the entire running period were determined by principle coordinate analysis (PCoA) based on Bray Curtis distance (Gauch 1973).

If all these base results were generated by poor clustering algorithms, the ensemble outputs would be far from real microbial community similarity patterns.