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Dynamic configuration and data security for bioinformatics cloud services with the Laniakea Dashboard.

Marco Antonio Tangaro^1,2, Marica Antonacci², Giacinto Donvito²

¹Institute of Biomembranes, Bioenergetics and Molecular Biotechnologies, National Research Council (CNR), Via Giovanni Amendola 122/O, 70126 Bari, Italy.

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Summary

New Laniakea software components enhance scientific clouds, improving accessibility and security for sensitive human genetic data processing. These tools enable convenient, on-demand cloud services for researchers.

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Area of Science:

Computational Biology
Bioinformatics
Cloud Computing

Background:

High-throughput technologies generate vast molecular data, requiring robust computational infrastructure.
Processing sensitive human genetic data necessitates improved accessibility and advanced data security in cloud environments.
Scientific clouds offer a promising solution for secure and accessible large-scale data analysis.

Purpose of the Study:

To present three components of the Laniakea software stack designed for scientific cloud services.
To enable the secure and user-friendly deployment of on-demand applications, particularly for sensitive data.
To enhance the capabilities of scientific cloud providers using the INDIGO Platform-as-a-Service (PaaS) layer.

Main Methods:

Development of the Laniakea software stack, including a Dashboard, secret management, and encryption components.
The Dashboard translates configuration templates into intuitive web interfaces for application deployment.
Integration of secret management and encryption for secure handling of credentials and encrypted storage volumes.

Main Results:

The Laniakea components facilitate the easy configuration and launch of on-demand applications.
Secure handling of passphrases, credentials, and deployment of encrypted storage volumes are supported.
The software stack enhances the provision of private, on-demand Galaxy instances.

Conclusions:

The Laniakea software components empower scientific cloud providers to offer convenient and secure on-demand services.
These tools address the critical need for secure processing of sensitive human genetic data in the cloud.
Adoption of these components can lead to more efficient and accessible cloud-based research environments.