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

Author:

Brito Jaqueline J1ORCID,Mosqueiro Thiago2,Rotman Jeremy3,Xue Victor3,Chapski Douglas J4,la Hoz Juan De5,Matias Paulo6,Martin Lana S1ORCID,Zelikovsky Alex78,Pellegrini Matteo2,Mangul Serghei1ORCID

Affiliation:

1. Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, 1985 Zonal Avenue, Los Angeles, CA 90089-9121, USA

2. Institute for Quantitative and Computational Biosciences, University of California Los Angeles, 611 Charles E. Young Drive East, Los Angeles, CA 90095, USA

3. Department of Computer Science, University of California, Los Angeles, 404 Westwood Plaza, Los Angeles, CA 90095, USA

4. Department of Anesthesiology, David Geffen School of Medicine at UCLA, 650 Charles E. Young Drive, Los Angeles, CA 90095, USA

5. Center for Neurobehavioral Genetics, University of California Los Angeles, 695 Charles E Young Dr S, Los Angeles, CA 90095, USA

6. Department of Computer Science, Federal University of São Carlos, km 325 Rod. Washington Luis, São Carlos, SP 13565–905, Brazil

7. Department of Computer Science, Georgia State University, 1 Park Place, Atlanta, GA 30303, USA

8. The Laboratory of Bioinformatics, I.M. Sechenov First Moscow State Medical University, Moscow 119991, Russia

Abstract

Abstract 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.

Funder

National Science Foundation

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Computer Science Applications,Health Informatics

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