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In the present work however, we perform whole genome comparisons of 32 Brucella genomes (Table 1) using a variety of different genomic methods to obtain deeper insight into the obscure evolution of genus Brucella.
The group simulated blooms in phytoplankton communities in the North Pacific by mixing nutrient-rich deeper water with shallow-water communities and using genomic methods to track the responses of individual species.
While the use of "genomic" methods to facilitate property prediction, virtual design, and discovery of materials is relatively new, the concepts driving the development of materials informatics are based, solidly, on the lessons learned during the development history of cheminformatics and bioinformatics.
To this end, we are developing and improving computational methods to detect natural selection on regulatory elements combined with comparative genomic methods to measure divergent enhancer activity and identify causal genetic divergence of differential enhancer function.
In this report, we applied cytogenetic and genomic methods to investigate the organization of rRNA genes among cichlid fishes.
Especially outbreak isolates normally have very little diversity and require extensive genomic methods to differentiate and catagorize the isolates [ 3].
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Porcu et al. utilized a genomic method to globally analyze effects of FTIs on cellular activity.
Recently, a genomic method to quantify breast epithelial cell differentiation status, known as the Differentiation Score (DS) predictor [ 6] was developed.
This review summarizes the microbial mechanisms responsible for removal of carbon, nitrogen, and sulfur compounds in treatment wetlands (TWs) and identifies, categorizes and compares various techniques, from plate count to more modern genomic methods used to elucidate these mechanisms.
The objective of this study was to investigate the predictive ability of two-stage and single-step genomic methods applied to health data collected from on-farm computer systems in the U.S. Implementation of univariate and bivariate models was investigated using BayesA and single-step methodologies for mastitis and somatic cell score (SCS).
Dr. Hanage is interested in bacterial evolution, which his lab investigates using modern population genomic methods, applied to many different pathogens.
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