Sentence examples for microbial data set from inspiring English sources

Obtaining the microbial data set, from atolls is particularly important given the association of microbes in the ongoing degradation of coral reef ecosystems worldwide.

The microbial data set contains bifurcating trees and was analyzed with all three majority-rule supertree methods.

It is a simultaneous global mega-sequencing campaign aiming to generate the largest standardized microbial data set in a single day.

EEEP was also used to infer pathways of LGT by comparing a set of 22 432 protein test trees derived from the microbial data set described in Beiko et al. [ 9], to a reference supertree constructed using the MRP algorithm [ 26] and rooted to follow the (by no means universally accepted) paradigm of Bacteria and Archaea as separate, monophyletic domains [ 27- 29].

Lastly, a microbial data set containing 61 taxa and 1117 genes was analyzed [ 40].

Here, the microbial data set is presented as an example how different methods resolve conflict among the input trees and not as a statement about the "true" bacterial phylogeny.

> -wrap-foot> To evaluate the performance of MetaVelvet-SL on real metagenomic data, we used human gut microbial data sets.

We assembled five human gut microbial data sets: MH0006 (ERS006497), MH0012 (ERS006494) and MH0047 (ERS006592) from the MetaHIT Consortium and SRS017227 and SRS018661 from the Human Microbiome Project Consortium.

> -wrap-foot> When the total scaffold lengths of two assemblies are quite different in the human gut microbial data sets, the naive use of N50 score is inadequate, because the longer total length decreases the N50 score.

Using this strategy of 'divide and conquer', we show that meaningful simplivariate models can be obtained using a real-life microbial metabolomics data set.

In the present study, we conducted a more comprehensive evaluation of the relationships among variations in geology, geochemistry, and microbial metabolisms and the diversity of communities in global deep-sea hydrothermal environments, based on compilation of a substantial hydrothermal fluid chemistry data set and microbial communities in the mixing zones of a wide variety of habitats.