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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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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. |
format | Online Article Text |
id | pubmed-6977584 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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