Delivering safe and effective therapeutic treatment to patients is one of the grand challenges in modern medicine. However, drug safety research has been progressing slowly in recent years, compared to other fields such as biotechnologies and precision medicine, due to the mechanistic complexity of adverse drug reactions (ADRs). To fill up this gap, we develop a new database, the Adverse Drug R...

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Global Computing achieves high throughput computing by harvesting a very large number of unused computing resources connected to the Internet. This parallel computing model targets a parallel architecture defined by a very high number of nodes, poor communication performance and continuously varying resources. The unprecedented scale of the Global Computing architecture paradigm requires to rev...

Thanks to vast improvements in wide-area network performance and powerful yet low-cost computers, Grid computing has emerged as a promising attractive computing paradigm. Computational Grids aim to aggregate the power of heterogeneous, geographically distributed, multiple-domain-spanning computational resources to provide high performance or high-throughput computing. To achieve the promising p...

Grid computing infrastructures denote interconnections of massively parallel and distributed computing resources for ubiquitous, integrated, and collaborative usage. While the majority of existing grid software constitutes high-performance and high-throughput batch processing, more and more applications require interactivity and visualization. The latter is supported through the Grid Visualizat...

Grids constitute a promising platform to execute loosely coupled, high-throughput parameter sweep applications, which arise naturally in many scientific and engineering fields like bio-informatics, computational fluid dynamics, particle physics, etc. In spite of the simple computational structure of these applications, its efficient execution and scheduling are challenging because of the dynami...

In recent years Cloud computing has become the infrastructure which small and medium-sized businesses are increasingly adopting for their IT and computational needs. It provides a platform for high performance and throughput oriented computing, and massive data storage. Subsequently, novel tools and technologies are needed to handle this new infrastructure. One of the biggest challenges in this...

High-throughput computing (HTC) uses computer clusters to solve advanced computational problems, with the goal of accomplishing high-throughput over relatively long periods of time. In genomic selection, for example, a set of markers covering the entire genome is used to train a model based on known data, and the resulting model is used to predict the genetic merit of selection candidates. Soph...