mSigSDK - private computation of mutation signatures

mSigSDK - private computation of mutation signatures | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article mSigSDK - private computation of mutation signatures Aaron Ge, Tongwu Zhang, Yasmmin Côrtes Martins, Maria Teresa Landi, and 4 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6536730/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version 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 without compromising privacy. Building on this foundation, we developed an in-browser Software Development Kit (a JavaScript SDK), 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 the 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 the National Cancer Institute Division of Cancer Epidemiology and Genetics (NIH/NCI/DCEG), with a focus on FAIR extensibility as components of other researchers' own data science constructs. Anticipated extensions include the programmatic operation of other mutation signature API ecosystems such as SIGNAL and COSMIC, advancing towards a data commons for mutational signature research (Grossman et al., 2016). Biological sciences/Computational biology and bioinformatics Biological sciences/Computational biology and bioinformatics/Genome informatics Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6536730","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":507057863,"identity":"f2ec50ec-b22e-4751-a1fc-62c51bcecb63","order_by":0,"name":"Aaron Ge","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA+klEQVRIiWNgGAWjYJCCAx8QbAsgTmBg4MGvg/HgDARHgigtzIeRFBChhb9/8YHDNn9sohkkshM/V7ZJyJuzJzA+eNuGW4vEjWcJh3Pb0nIbJHI3S55tkzDc2fOA2XAuHi0MN84YHM5tOAzSskGysU2CccONBDZpXjxa5G+c/3DY4g9Yy+afQC32QC3sv/FpMTjfw3CYgQ2sZRvIlkSQLcz4tBjeYDM42Av0SxvP222WDeckkjecedgsOeccbi1y5w8//vDjj01uP3vu5psNZTa2G44nH/zwpgyP9yUSIDQbiGCEkA141AMB/wFk3h/8ikfBKBgFo2BkAgB1HFsiOx10WwAAAABJRU5ErkJggg==","orcid":"","institution":"National Cancer Institute, National Institutes of Health","correspondingAuthor":true,"prefix":"","firstName":"Aaron","middleName":"","lastName":"Ge","suffix":""},{"id":507057864,"identity":"3bc169d4-8a06-47f9-93f8-f0f15b3cc4f1","order_by":1,"name":"Tongwu Zhang","email":"","orcid":"","institution":"National Cancer Institute, National Institutes of Health","correspondingAuthor":false,"prefix":"","firstName":"Tongwu","middleName":"","lastName":"Zhang","suffix":""},{"id":507057865,"identity":"c7332b6c-e29b-4a58-a543-a2ff043bca2c","order_by":2,"name":"Yasmmin Côrtes Martins","email":"","orcid":"","institution":"National Laboratory of Scientific Computing","correspondingAuthor":false,"prefix":"","firstName":"Yasmmin","middleName":"Côrtes","lastName":"Martins","suffix":""},{"id":507057866,"identity":"45ff0edc-4ad8-43d9-a6ee-3188ec348e5d","order_by":3,"name":"Maria Teresa Landi","email":"","orcid":"","institution":"National Cancer Institute, National Institutes of Health","correspondingAuthor":false,"prefix":"","firstName":"Maria","middleName":"Teresa","lastName":"Landi","suffix":""},{"id":507057867,"identity":"85b4a4da-3c0f-4aec-bb95-78910fa74b3c","order_by":4,"name":"Brian Park","email":"","orcid":"","institution":"National Cancer Institute, National Institutes of Health","correspondingAuthor":false,"prefix":"","firstName":"Brian","middleName":"","lastName":"Park","suffix":""},{"id":507057868,"identity":"c99237ce-4567-498d-81f6-cc6d58d8350d","order_by":5,"name":"Kailing Chen","email":"","orcid":"","institution":"National Cancer Institute, National Institutes of Health","correspondingAuthor":false,"prefix":"","firstName":"Kailing","middleName":"","lastName":"Chen","suffix":""},{"id":507057869,"identity":"df4d34f1-8ea9-48b4-a086-94795498bbb4","order_by":6,"name":"Jeya Balasubramanian","email":"","orcid":"","institution":"National Cancer Institute, National Institutes of Health","correspondingAuthor":false,"prefix":"","firstName":"Jeya","middleName":"","lastName":"Balasubramanian","suffix":""},{"id":507057870,"identity":"678f17ad-b1f5-4017-8b23-9e98dd915fa9","order_by":7,"name":"Jonas S Almeida","email":"","orcid":"","institution":"National Cancer Institute, National Institutes of Health","correspondingAuthor":false,"prefix":"","firstName":"Jonas","middleName":"S","lastName":"Almeida","suffix":""}],"badges":[],"createdAt":"2025-04-26 19:38:11","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6536730/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6536730/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":105892906,"identity":"210fb93c-e2c1-4477-ab8a-0b84b1e80f15","added_by":"auto","created_at":"2026-04-01 08:14:46","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":533401,"visible":true,"origin":"","legend":"","description":"","filename":"mSigSDKPaper1.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6536730/v1_covered_49d6041e-ed7b-4920-b44c-e12172d2e1fc.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"mSigSDK - 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