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These data are enabling biologists to analyze the relationships among populations and species, as well as understand speciation and population divergence.
Moreover, these amassing genomic, transcriptomic, proteomic, metabolomics [ 38- 42], and interactomic data are enabling a new systems biology paradigm in malaria research; the complex and dynamic cellular processes such as pathogenesis and virulence have recently begun to be unveiled.
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Big data is enabling companies to gain new insights into areas ranging from customer behaviour to how their businesses function.
Network effects are kicking in and the application of big data is enabling the technology to move at a rapid pace unseen in its history.
Large scale analysis of structure activity relationships and screening data is enabling the emergence of chemogenomics approaches to understanding the relationships between chemical space and biological target space.
Mr Parslow says access to huge amounts of data is enabling companies such as his to develop predictive algorithms that can forecast which demographics are likely to cost the most to treat in future, for conditions like diabetes and asthma.
Data is enabling our cars to become 'ultimate mobile devices' by giving us real-time traffic information; allowing us to monitor our vehicles' components to help them run better; providing links to emergency services; and much more.
This data is enabling comparative analysis of time trends in a relative prevalence of common RDs.
Sequence analyses of this data is enabling the understanding of the layout of these histone modifications across the genomes of these four genotypes when compared to the reference genome sequence of G19833.
The generation of such large-scale sequence data is enabling gene discovery, molecular marker development, and comparative analyses in ecologically important, non-model plant taxa, including those of conservation concern.
The ever-increasing expanse of online bioinformatics data is enabling new ways to, not only explore the visualization of these data, but also to apply novel mathematical methods to extract meaningful information for clinically relevant analysis of pathways and treatment decisions.
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CEO of Professional Science Editing for Scientists @ prosciediting.com