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Telescope: an interactive tool for managing large-scale analysis from mobile devices

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 adjusti...

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Autores principales: Brito, Jaqueline J, Mosqueiro, Thiago, Rotman, Jeremy, Xue, Victor, Chapski, Douglas J, la Hoz, Juan De, Matias, Paulo, Martin, Lana S, Zelikovsky, Alex, Pellegrini, Matteo, Mangul, Serghei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6977584/
https://www.ncbi.nlm.nih.gov/pubmed/31972019
http://dx.doi.org/10.1093/gigascience/giz163
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author Brito, Jaqueline J
Mosqueiro, Thiago
Rotman, Jeremy
Xue, Victor
Chapski, Douglas J
la Hoz, Juan De
Matias, Paulo
Martin, Lana S
Zelikovsky, Alex
Pellegrini, Matteo
Mangul, Serghei
author_facet Brito, Jaqueline J
Mosqueiro, Thiago
Rotman, Jeremy
Xue, Victor
Chapski, Douglas J
la Hoz, Juan De
Matias, Paulo
Martin, Lana S
Zelikovsky, Alex
Pellegrini, Matteo
Mangul, Serghei
author_sort Brito, Jaqueline J
collection PubMed
description 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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spelling pubmed-69775842020-01-27 Telescope: an interactive tool for managing large-scale analysis from mobile devices Brito, Jaqueline J Mosqueiro, Thiago Rotman, Jeremy Xue, Victor Chapski, Douglas J la Hoz, Juan De Matias, Paulo Martin, Lana S Zelikovsky, Alex Pellegrini, Matteo Mangul, Serghei Gigascience Technical Note 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. Oxford University Press 2020-01-23 /pmc/articles/PMC6977584/ /pubmed/31972019 http://dx.doi.org/10.1093/gigascience/giz163 Text en © The Author(s) 2020. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Technical Note
Brito, Jaqueline J
Mosqueiro, Thiago
Rotman, Jeremy
Xue, Victor
Chapski, Douglas J
la Hoz, Juan De
Matias, Paulo
Martin, Lana S
Zelikovsky, Alex
Pellegrini, Matteo
Mangul, Serghei
Telescope: an interactive tool for managing large-scale analysis from mobile devices
title Telescope: an interactive tool for managing large-scale analysis from mobile devices
title_full Telescope: an interactive tool for managing large-scale analysis from mobile devices
title_fullStr Telescope: an interactive tool for managing large-scale analysis from mobile devices
title_full_unstemmed Telescope: an interactive tool for managing large-scale analysis from mobile devices
title_short Telescope: an interactive tool for managing large-scale analysis from mobile devices
title_sort telescope: an interactive tool for managing large-scale analysis from mobile devices
topic Technical Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6977584/
https://www.ncbi.nlm.nih.gov/pubmed/31972019
http://dx.doi.org/10.1093/gigascience/giz163
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