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Grid computing provides a global-scale distributed computing infrastructure for executing scientific and business applications. An important requirement is the need to make this infrastructure appear as a single logical coordinated resource – which in reality consists of a variety of resources aggregated across different administrative domains. The(More)
UNLABELLED Healthcare can be enhanced by the effective use of information technology to improve the quality and safety of care and many healthcare providers are adopting advanced health information technology to improve their healthcare delivery process. Qatar is a relatively young Middle Eastern country with an ambitious and progressive national strategy(More)
Burrows-Wheeler Transform (BWT) is the widely used data compression technique in the next-generation sequencing (NGS) analysis. Due to the advancement in the NGS technology, the genome data size was increased rapidly and these higher volumes of genome data need to be processed by empirical parallelism. Generally, these NGS data will be processed by(More)
KCNH1 encodes a voltage-gated potassium channel that is predominantly expressed in the central nervous system. Mutations in this gene were recently found to be responsible for Temple-Baraitser Syndrome (TMBTS) and Zimmermann-Laband syndrome (ZLS). Here, we report a new case of TMBTS diagnosed in a Lebanese child. Whole genome sequencing was carried out on(More)
BACKGROUND Hyaline fibromatosis syndrome (HFS) is a recently introduced alternative term for two disorders that were previously known as juvenile hyaline fibromatosis (JHF) and infantile systemic hyalinosis (ISH). These two variants are secondary to mutations in the anthrax toxin receptor 2 gene (ANTXR2) located on chromosome 4q21. The main clinical(More)
Main challenge of existing resource discovery service is the lack of support from task oriented query. This paper puts forward a design of task-oriented grid resource discovery service based on learning automata to enable users to dynamically discover the grid resources which are suitable for their task. The core of this service is learning automata based(More)
We compared the performance of several prediction techniques for breast cancer prognosis, based on AU-ROC performance (Area Under ROC) for different prognosis periods. The analyzed dataset contained 1,981 patients and from an initial 25 variables, the 11 most common clinical predictors were retained. We compared eight models from a wide spectrum of(More)