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Magellon - an extensible platform for cryo-EM data visualization, management and processing
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DOI：10.1107/S2052252525007432.png)
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Abstract
En 中文
Single-particle cryo-electron microscopy (cryo-EM) has revolutionized structural biology by enabling high-resolution determination of macromolecular structures. However, the field faces challenges in data management, processing workflow integration and software extensibility. We present Magellon, an innovative cryo-EM software platform that addresses these challenges through a modern microservices architecture. Magellon consists of an extensible backend with a web based frontend that we call Magellon Viewer. Together, these combine high-performance computing capabilities with an intuitive user interface, enabling researchers to efficiently process and analyze cryo-EM data. The platform's distinguishing features include a plugin based architecture, distributed processing capabilities, comprehensive monitoring systems, and a novel approach to data organization and visualization. A key philosophy of the approach is that the Magellon backend provides a platform that uses robust industry-standard libraries to orchestrate computational tasks while offering users and developers flexibility in selecting the computational resources for performing calculations. Magellon represents a significant advancement in cryoEM software infrastructure, offering flexibility, scalability and extensibility while maintaining ease of use.
Keywords:
Magellon
automation
data processing
cryo-EM
structural biology
macromolecular structures
Journal
IF:
3.6
Papers:
52
Citations:
3.2K
