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The demand for high throughput has driven to architectures that use multiple hops in the presence of infrastructure.
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The great demand for efficient, inexpensive, and accurate sequencing has driven the development of high-throughput sequencing technologies from automated Sanger sequencing to next-generation sequencing (NGS) over the past several years.
What has driven this change?
Only Alonso has driven better.
The relatively poor performance of prediction algorithms and the recent availability of high-throughput approaches have driven the experimental exploration of non-seed mediated miRNA – target interactions (Fig. 3).
The recent advances in high-throughput data acquisition have driven a revolution in the study of human disease and determination of molecular biomarkers of disease states.
Next generation sequencing and other high-throughput experimental techniques of recent decades have driven the exponential growth in publicly available molecular and clinical data.
The genomic and structural genomic communities have driven the development of high-throughput cloning, expression and purification technologies to a large extent.
The high-throughput needs in electron tomography and in single particle analysis have driven the parallel implementation of several reconstruction algorithms and software packages on computing clusters.
Recent advances in high-throughput methods for taking global measurements of transcript or protein levels from biological samples have driven the field of systems biology.
I would have driven farther".
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CEO of Professional Science Editing for Scientists @ prosciediting.com