Sentence examples for microbial sequence data from inspiring English sources
Here we describe trends in the development and distribution of software for analyzing microbial sequence data.
Such large-scale comparisons will allow us to fulfill the dream of rapid integration and comparison of microbial sequence data sets, in a replicable analytical environment, in order to describe the microbial world we inhabit.
The generation of microbial sequence data for "short term" patient management will revolutionize infectiology and diagnostic microbiology, allowing for deeper and more rapid insights into the patients' infectious pathologies [ 90].
HGS's attempts to delay the release of microbial sequencing data raised tensions to the boiling point.
We will collect more intestinal microbial sequencing data to expand disease prediction models for better disease prevention and diagnosis.
With the steady accumulation in observational data of biodiversity as well as microbial sequencing data, bio-resource centers have to function as data and information repositories to serve academia, industry, and regulators on behalf of and for the general public.
For the complex microbial proteome of fecal samples VerBerkmoes et al., [ 18] successfully used a mixture of gut microbial metagenome sequence data supplemented with a synthetic metagenome constructed from known gut inhabitants representatives.
Interrogation of microbial metagenomic sequence data collected as part of the Sorcerer II Global Ocean Expedition (GOS) revealed a high abundance of viral sequences, representing approximately 3% of the total predicted proteins.
Thus, the approach that presently generates the largest amount of unbiased microbial genome sequence data is 'metagenomics' ([ 11]; also termed 'environmental sequencing').
In addition, with the rapid increase in microbial metagenomic sequence data produced by NGS, the probes used for EOPM can easily be upgraded, and the EOPM version can be updated due to the in situ synthesis technology replacing the spotting technology in microarray fabrication.
With the remarkable increase of microbial and viral sequence data obtained from high-throughput DNA sequencers, novel tools are needed for comprehensive analysis of the big sequence data.
