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2014 ; 15
(ä): 176
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QMachine: commodity supercomputing in web browsers
#MMPMID24913605
Wilkinson SR
; Almeida JS
BMC Bioinformatics
2014[Jun]; 15
(ä): 176
PMID24913605
show ga
BACKGROUND: Ongoing advancements in cloud computing provide novel opportunities
in scientific computing, especially for distributed workflows. Modern web
browsers can now be used as high-performance workstations for querying,
processing, and visualizing genomics' "Big Data" from sources like The Cancer
Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC) without
local software installation or configuration. The design of QMachine (QM) was
driven by the opportunity to use this pervasive computing model in the context of
the Web of Linked Data in Biomedicine. RESULTS: QM is an open-sourced, publicly
available web service that acts as a messaging system for posting tasks and
retrieving results over HTTP. The illustrative application described here
distributes the analyses of 20 Streptococcus pneumoniae genomes for shared
suffixes. Because all analytical and data retrieval tasks are executed by
volunteer machines, few server resources are required. Any modern web browser can
submit those tasks and/or volunteer to execute them without installing any extra
plugins or programs. A client library provides high-level distribution templates
including MapReduce. This stark departure from the current reliance on expensive
server hardware running "download and install" software has already gathered
substantial community interest, as QM received more than 2.2 million API calls
from 87 countries in 12 months. CONCLUSIONS: QM was found adequate to deliver the
sort of scalable bioinformatics solutions that computation- and data-intensive
workflows require. Paradoxically, the sandboxed execution of code by web browsers
was also found to enable them, as compute nodes, to address critical privacy
concerns that characterize biomedical environments.