Telescope: an interactive tool for managing large scale analysis from mobile devices
Abstract
In today's world of big data, computational analysis has become a key driver of biomedical research. Recent exponential growth in the volume of available omics data has reshaped the landscape of contemporary biology, creating demand for a continuous feedback loop that seamlessly integrates experimental biology techniques and bioinformatics tools. 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 in real-time. Here we report the development of Telescope, a novel interactive tool that interfaces with high-performance computational clusters to deliver an intuitive user interface for controlling and monitoring bioinformatics analyses in real-time. Telescope was designed to natively operate with a simple and straightforward interface using Web 2.0 technology compatible with most modern devices (e.g., tablets and personal smartphones). Telescope provides a modern and elegant solution to integrate computational analyses into the experimental environment of biomedical research. Additionally, it allows biomedical researchers to leverage the power of large computational facilities in a user-friendly manner. Telescope is freely available at https://github.com/Mangul-Lab-USC/telescope.
Cite
@article{arxiv.1909.12469,
title = {Telescope: an interactive tool for managing large scale analysis from mobile devices},
author = {Jaqueline J. Brito and Thiago Mosqueiro and Jeremy Rotman and Victor Xue and Douglas J. Chapski and Juan De la Hoz and Paulo Matias and Lana Martin and Alex Zelikovsky and Matteo Pellegrinni and Serghei Mangul},
journal= {arXiv preprint arXiv:1909.12469},
year = {2019}
}