mSigSDK - private, at scale, computation of mutation signatures

Area of Science:

• Bioinformatics
• Computational Biology
• Genomics

Background:

• Mutation signature analysis is crucial for understanding cancer development.
• Previous methods required downloads and compromised data privacy.
• Scalable, secure analysis of individual patient data is needed.

Approach:

• Developed mSigSDK, an in-browser JavaScript Software Development Kit (SDK).
• Leveraged modern web standards (ECMAScript ES6 modules) for modularity.
• Enabled secure, in-browser computation on user's machine, eliminating downloads.

Key Points:

• mSigSDK facilitates distributed data processing and visualization of mutation signatures.
• Ensures privacy by performing computations locally on the user's machine.
• Designed for FAIR (Findable, Accessible, Interoperable, Reusable) extensibility.

Conclusions:

• mSigSDK enhances accessibility and scalability of mutation signature analysis.
• Facilitates integration with existing resources like mSig Portal, SIGNAL, and COSMIC.
• Advances the development of a data commons for mutational signature research.