JINet: easy and secure private data analysis for everyone.

IF 3.3 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Giada Lalli, James Collier, Yves Moreau, Daniele Raimondi
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引用次数: 0

Abstract

Background: The barriers to effective data analysis are sometimes insurmountable. Concerns ranging from privacy, security, and complexity can prevent researchers from using existing data analysis tools.

Results: JINet is a web browser-based platform intended to democratise access to advanced clinical and genomic data analysis software. It hosts numerous data analysis applications that are run in the safety of each User's web browser, without the data ever leaving their machine.

Conclusions: JINet promotes collaboration, standardisation and reproducibility by sharing scripts rather than data and creating a self-sustaining community around it in which Users and data analysis tools Developers interact thanks to JINet's interoperability primitives.

JINet:为每个人提供简单安全的私人数据分析。
背景:有效数据分析的障碍有时是不可逾越的。对隐私、安全性和复杂性的担忧可能会阻止研究人员使用现有的数据分析工具。JINet是一个基于web浏览器的平台,旨在使高级临床和基因组数据分析软件的访问民主化。它承载了大量的数据分析应用程序,运行在每个用户的网络浏览器的安全,没有数据离开他们的机器。结论:JINet通过共享脚本而不是数据来促进协作、标准化和可再现性,并围绕它创建了一个自我维持的社区,在这个社区中,用户和数据分析工具开发人员通过JINet的互操作性原语进行交互。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMC Bioinformatics
BMC Bioinformatics 生物-生化研究方法
CiteScore
5.70
自引率
3.30%
发文量
506
审稿时长
4.3 months
期刊介绍: BMC Bioinformatics is an open access, peer-reviewed journal that considers articles on all aspects of the development, testing and novel application of computational and statistical methods for the modeling and analysis of all kinds of biological data, as well as other areas of computational biology. BMC Bioinformatics is part of the BMC series which publishes subject-specific journals focused on the needs of individual research communities across all areas of biology and medicine. We offer an efficient, fair and friendly peer review service, and are committed to publishing all sound science, provided that there is some advance in knowledge presented by the work.
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