Sentence examples for microbial genome data from inspiring English sources

Roux et al.'s findings demonstrate the value of searching publicly available microbial genome data for fragments of viral genomes.

All microbial genome data (841 different bacterial genomes) deposited in GenBank (until February 2009) were downloaded onto our local server for similarity searching.

In addition to integrating microbial genome data, IMG also provides the tool for analyzing publicly-available environmental microbial samples and metagenomes, which is named IMG/M [2].

The proteomic approach uncovers the stoichiometry of known metabolic processes emanating from complete microbial genome sequencing data.

Thus, the approach that presently generates the largest amount of unbiased microbial genome sequence data is 'metagenomics' ([ 11]; also termed 'environmental sequencing').

Currently, ad hoc or non-automated approaches with unproven performance are often used to detect SV in microbial genome resequencing data sets, or SV is neglected entirely and only single-nucleotide and short indel variation are analyzed.

Thus, as microbial genomic data sets evolve from complete genomes to fragmented draft and single-cell genomes, new windows into viral diversity and virus host interactions are opened.

Given this technological reality, draft genomes are likely to dominate microbial genomic data for the immediate future.

Due to the accumulation of microbial genomic data, we can now compare genomes at various levels of relatedness [ 14].

Draft genome quality will be the dominant form of microbial genomic data produced for the immediate and foreseeable future.

IMG is a microbial genome and metagenome data management system that implements a data warehouse to store and analyse metagenomic sequences both functionally and taxonomically.