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|Interface||Command line interface|
|Restrictions to use||None|
|High performance computing||Yes|
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Publication for CloudBrush
Challenges, Solutions, and Quality Metrics of Personal Genome Assembly in Advancing Precision Medicine
[…] ure is set-up as a HPC. However, efficient methods are needed to distribute the computation across multiple nodes in a HPC or cloud computing environment. For this purpose, methods, such Contrail and CloudBrush, are specifically designed to use Hadoop, an open source implementation of the MapReduce that was developed by Google to simplify large data processing needs by scaling computation across m […]
Big Data Application in Biomedical Research and Health Care: A Literature Review
[…] g data with MapReduce, encapsulating the complicated procedures for configuring the Hadoop cloud for bioinformatics researchers. Several packages are integrated with the CloudDOE package (CloudBurst, CloudBrush, and CloudRS), and its operation is further simplified by wizards and graphic user interfaces. […]
Applications of the MapReduce programming framework to clinical big data analysis: current landscape and future trends
[…] fic Computing Center (NERSC ) and the Amazon Elastic Compute Cloud . Chang et al.  have developed a distributed genome assembler based on string graphs and the MapReduce framework, known as the CloudBrush. The assembler includes a novel edge-adjustment algorithm to detect structural defects by examining the neighbouring areas of a specific read for sequencing errors and adjusting the edges o […]
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