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

Area of Science:

• Biomedical Research
• Computational Biology
• Bioinformatics

Background:

• Big data necessitates advanced computational analysis in biomedical research.
• High-performance computing (HPC) facilities generate vast datasets but lack user-friendly interfaces.
• Supervising and adjusting bioinformatics analyses via mobile devices is challenging.

Purpose of the Study:

• To introduce Telescope, a novel tool designed to bridge the gap between HPC and researchers.
• To provide an intuitive user interface for controlling and monitoring bioinformatics analyses.
• To leverage ubiquitous mobile technology for enhanced user experience in computational biology.

Main Methods:

• Development of Telescope, a tool interfacing with HPC clusters.
• Integration of a user-friendly interface accessible via smartphones and tablets.
• Implementation of real-time control and monitoring capabilities.
• Ensuring secure connectivity and data encryption.

Main Results:

• Telescope provides an intuitive interface for HPC management.
• Enables real-time supervision and adjustment of bioinformatics analyses.
• Offers a user-friendly experience, reducing the need for specialized computational expertise.
• Facilitates seamless connectivity and secure data handling.

Conclusions:

• Telescope mitigates the digital divide between wet and computational labs.
• Enhances ease of use and accessibility for bioinformatics analyses.
• Facilitates closing the feedback loop between experimental and computational work.
• Maintains minimal impact on computational tool performance.