Sentence examples for metagenomic datasets using from inspiring English sources

(ii) The pipeline was required to consistently annotate isofunctional homologs of these genes across multiple marine metagenomic datasets, using unassembled reads from both Sanger (∼1000 basepair (bp)) and GS-FLX (∼350 bp), so that their abundances could be accurately compared.

We simulated four NGS metagenomic datasets using MetaSim [ 47].

It is a sequencing simulation tool for generating synthetic metagenomic datasets using a collection of complete genomic sequences.

We have evaluated the performance of a state-of-the-art Eulerian-path based sequence assembler on simulated metagenomic datasets using a read length of 36 base pairs (bp), as produced by the Solexa/Illumina sequencing technology.

In general, sequence-based searches are more efficient than function-based screening in prospecting for novel enzymes, since target genes can be directly discovered from metagenomic datasets using bioinformatics tools [ 33].

In this study, the analysis of metagenomic datasets using SEED annotation indicated the presence of acetyl-CoA synthetases (EC 6.2.1.1) and inorganic pyrophosphatase (EC 3.6.1.1) in the compiled Methanosaeta bin.

We next analysed 55 of the 65 Roche/454 metagenomic datasets used to generate Figure 3 in the DRISEE manuscript (the other 10 datasets were not available in MG-RAST or SRA).

The information about metagenomic datasets used here is summarized in Table  1.> To construct a set of CRISPR cassettes for each metagenomic dataset, we used three algorithms, PILER-CR [ 46], the CRISPR Recognition Tool (CRT) [ 47], CRISPRFinder [ 48], and a previously designed filtering procedure [ 26].

> -wrap-foot> Thost-associatedted and non host-associated metagenomic datasets used in these analyses were downloaded from the Integrated Microbial Genomes with Microbiome Samples database (IMG/M) (Markowitz et al. 2012).

Figure 5 Metabolic profile of phenol degrading sludge metagenomic libraries datasets using MG-RAST platform.

A high level of microbial diversity and availability of metagenomic datasets obtained using various sequencing techniques make the human gut microbiome a promising object for studying CRISPR systems.