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.

中文翻译：

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Telescope：一种用于管理移动设备大规模分析的交互式工具。


背景技术在当今的大数据世界中，计算分析已成为生物医学研究的关键驱动力。高性能计算设施能够处理大量数据，但通常缺乏易于使用的界面来指导用户通过平板电脑或智能手机监督和调整生物信息学分析。结果为了解决这一差距，我们提出了 Telescope，这是一种与高性能计算集群接口的新颖工具，可提供直观的用户界面，用于实时控制和监控生物信息学分析。通过利用大多数研究人员现在普遍使用的最新一代技术（例如智能手机），Telescope 提供了友好的用户体验，并在后台管理连接和加密。结论 望远镜有助于缩小当代生物学中湿实验室和计算实验室之间的数字鸿沟。通过不依赖计算集群专业知识的用户体验提供便利性和易用性，Telescope 可以帮助研究人员关闭生物信息学和实验工作之间的反馈循环，同时对计算工具性能的影响最小。望远镜可在 https://github.com/Mangul-Lab-USC/telescope 免费获取。