Sentence examples for metagenomic data of from inspiring English sources

The metagenomic data of gut microbiomes from 13 healthy Japanese individuals, previously reported on, was used [ 6].

To date, metagenomic data of human and mouse intestinal microbiomes have been published from three separate groups.

In the present study, ladderane biosynthesis was addressed via comparative analysis of metagenomic data of the anammox bacterium K. stuttgartiensis and stable isotope analysis.

Additionally, an "uncultured prymnesiophyte C19847" (derived from metagenomic data of oceanic samples collected from the North Atlantic [GenBank:HM565909] [ 34]) was included in this analysis.

We chose to use a high-stringency condition for the first mapping to be sure that we aligned the reads that belonged to Akkermansia muciniphila because we aligned reads from the metagenomic data of a stool sample.

To test larger problems, we used PAGAN and the best alternative method, hmmalign (Eddy, 2011), for a re-analysis of metagenomic data of Mirarab et al. (2012) consisting of reference alignments of 500 sequences and addition of 5000 sequence fragments.

Previous usage of metagenomic data for phylogenetic typing of organisms focused primarily on assigning metagenomic sequences to specific known groups of organisms (e.g., see [22]).

This is quite an exciting study that makes an extensive use of metagenomic data to assess the natural variability of Pelagibacter (SAR11), apparently, the most abundant marine bacterium.

They also highlighted the ability of PRICE to accommodate the challenges that are both intrinsic to such problems (complexity of datasets in terms of diversity of the source material) and that reflect current shortcomings of metagenomic data (unevenness of coverage, even across a single molecular species).

While the NGS sequencing technologies are very promising for metagenomic projects due to their great sequencing depths and low costs, they also present new challenges in the analysis of metagenomic data because of their short read lengths.

A simple method for this task, called the Lowest Common Ancestor (LCA), is employed in state-of-the-art computational tools for metagenomic data analysis of very short reads (about 100 bp).