Journal
GIGASCIENCE
Volume 9, Issue 1, Pages -Publisher
OXFORD UNIV PRESS
DOI: 10.1093/gigascience/giz163
Keywords
bioinformatics; job scheduler; high-throughput computing; bioinformatics analysis
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Funding
- UCLA QCBio Collaboratory Postdoctoral Fellowship
- NSF [DBI-1564899, CCF-1619110]
- NIH [1R01EB025022-01]
- QCBio Collaboratory community
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Background In today's world of big data, computational analysis has become a key driver of biomedical research. High-performance computational facilities are capable of processing considerable volumes of data, yet often lack an easy-to-use interface to guide the user in supervising and adjusting bioinformatics analysis via a tablet or smartphone. Results To address this gap we proposed Telescope, a novel tool that interfaces with high-performance computational clusters to deliver an intuitive user interface for controlling and monitoring bioinformatics analyses in real-time. By leveraging last generation technology now ubiquitous to most researchers (such as smartphones), Telescope delivers a friendly user experience and manages conectivity and encryption under the hood. Conclusions Telescope helps to mitigate the digital divide between wet and computational laboratories in contemporary biology. By delivering convenience and ease of use through a user experience not relying on expertise with computational clusters, Telescope can help researchers close the feedback loop between bioinformatics and experimental work with minimal impact on the performance of computational tools. Telescope is freely available at https://github.com/Mangul-Lab-USC/telescope.
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