mSigSDK -- private, at scale, computation of mutation signatures
Aaron Ge, Yasmmin C\^ortes Martins, Tongwu Zhang, Kailing Chen, Maria, Teresa Landi, Brian Park, Jeya Balasubramanian, Jonas S Almeida

TL;DR
mSigSDK is a JavaScript-based SDK enabling privacy-preserving, scalable mutation signature analysis directly in users' browsers, facilitating secure, distributed genomic data processing and visualization.
Contribution
It introduces a modular, web standards-compliant SDK that allows mutation signature computations to be performed locally in-browser without downloads or installations.
Findings
Enables in-browser mutation signature analysis
Supports secure, distributed data processing
Facilitates integration with mutation signature APIs
Abstract
In our previous work, we demonstrated that it is feasible to perform analysis on mutation signature data without the need for downloads or installations and analyze individual patient data at scale without compromising privacy. Building on this foundation, we developed a Software Development Kit (SDK) called mSigSDK to facilitate the orchestration of distributed data processing workflows and graphic visualization of mutational signature analysis results. We strictly adhered to modern web computing standards, particularly the modularization standards set by the ECMAScript ES6 framework (JavaScript modules). Our approach allows for computation to be entirely performed by secure delegation to the computational resources of the user's own machine (in-browser), without any downloads or installations. The mSigSDK was developed primarily as a companion library to the mSig Portal resource of…
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Taxonomy
TopicsCancer Genomics and Diagnostics · Epigenetics and DNA Methylation · Scientific Computing and Data Management
MethodsLib · Focus
