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With this framework, named F l u χ, we enable the setup of dataflows whose execution is guided and controlled to comply with certain QoD requirements, delivering thus: controlled performance (i.e., improved or degraded); rationalization of resource usage; execution prioritization based on relative importance of data; and augmented throughput between processing steps.
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Moreover, relying on QoD we can augment the throughput of the dataflow and reduce the number of its executions while keeping the results within acceptable limits.
Recently, the emergence of next-generation sequencing technology greatly augmented the sequencing throughputs and reduced both time and cost simultaneously, and might make population-scale QTL studies feasible (Charlesworth and Willis 2009).
In the past few years, DNA microarray for transcriptome analysis has been augmented by high-throughput sequencing methods; extending the reach of transcriptome analysis to the rodent species of biotechnological importance, for which the development of genomic tools has been lagging.
The amount of phenotypic information derived from targeted mutations and hypothesis-driven studies is increasing rapidly, and is now being further augmented by high-throughput international efforts to systematically analyse the effects of genomic variation on model organism phenotypes.
qHTS holds potential to meet these objectives by augmenting the low throughput animal and tissue testing models with approaches that simultaneously assess large numbers of compounds over a wide chemical space with reduced cost per substance.
Recently, the process of biomarker discovery was augmented by a number of commercial high-throughput pipelines aimed at singling out the molecules differentially expressed between various physiological and pathological states followed by validation of their performance in independent cohorts and true translation from bench to bedside as pre-packaged diagnostic kits.
Here we describe the reconstruction of a detailed and validated genome-scale metabolic network for S. typhimurium, that reconciles established genomic and high-throughput phenotyping data and that is augmented by experimental data to facilitate iterative model building efforts.
Overall, this data set, augmented by meta-analysis of other recent high-throughput proteomic studies of other human cell lines, provides a new insight into cell identity as characterized by gene expression at the protein level.
Advances in embedded devices throughput and power efficiency enable the development of novel real-time augmented vision, consisting of a relatively small, lightweight and wearable head-mounted display (HMD) embedded device to aid the visually impaired.
Throughput deriving from broadcast communication for the EP workload also grows as the number of nodes is augmented.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com