Allot Alexis, Chennen Kirsley, Nevers Yannis, Poidevin Laetitia, Kress Arnaud, Ripp Raymond, Thompson Julie Dawn, Poch Olivier, Lecompte Odile
ICUBE UMR 7357, Complex Systems and Translational Bioinformatics, Université de Strasbourg - CNRS - FMTS, Strasbourg, France.
J Med Internet Res. 2017 Jun 16;19(6):e212. doi: 10.2196/jmir.6676.
The constant and massive increase of biological data offers unprecedented opportunities to decipher the function and evolution of genes and their roles in human diseases. However, the multiplicity of sources and flow of data mean that efficient access to useful information and knowledge production has become a major challenge. This challenge can be addressed by taking inspiration from Web 2.0 and particularly social networks, which are at the forefront of big data exploration and human-data interaction.
MyGeneFriends is a Web platform inspired by social networks, devoted to genetic disease analysis, and organized around three types of proactive agents: genes, humans, and genetic diseases. The aim of this study was to improve exploration and exploitation of biological, postgenomic era big data.
MyGeneFriends leverages conventions popularized by top social networks (Facebook, LinkedIn, etc), such as networks of friends, profile pages, friendship recommendations, affinity scores, news feeds, content recommendation, and data visualization.
MyGeneFriends provides simple and intuitive interactions with data through evaluation and visualization of connections (friendships) between genes, humans, and diseases. The platform suggests new friends and publications and allows agents to follow the activity of their friends. It dynamically personalizes information depending on the user's specific interests and provides an efficient way to share information with collaborators. Furthermore, the user's behavior itself generates new information that constitutes an added value integrated in the network, which can be used to discover new connections between biological agents.
We have developed MyGeneFriends, a Web platform leveraging conventions from popular social networks to redefine the relationship between humans and biological big data and improve human processing of biomedical data. MyGeneFriends is available at lbgi.fr/mygenefriends.
生物数据持续大量增长，为解读基因功能与进化及其在人类疾病中的作用提供了前所未有的机遇。然而，数据来源的多样性和数据流意味着有效获取有用信息及知识产出已成为一项重大挑战。可以从Web 2.0，尤其是社交网络中汲取灵感来应对这一挑战，社交网络处于大数据探索和人机数据交互的前沿。
MyGeneFriends是一个受社交网络启发的网络平台，致力于遗传疾病分析，并围绕基因、人类和遗传疾病这三种主动主体构建。本研究的目的是改进对生物后基因组时代大数据的探索与利用。
MyGeneFriends利用顶级社交网络（如Facebook、LinkedIn等）推广的惯例，如朋友网络、个人资料页面、好友推荐、亲和度得分、新闻推送、内容推荐和数据可视化。
MyGeneFriends通过评估和可视化基因、人类和疾病之间的联系（友谊），提供与数据简单直观的交互。该平台会推荐新朋友和出版物，并允许主体关注其朋友的活动。它根据用户的特定兴趣动态个性化信息，并提供与合作者共享信息的有效方式。此外，用户行为本身会产生新信息，这些信息构成了网络中的附加价值，可用于发现生物主体之间的新联系。
我们开发了MyGeneFriends，这是一个利用流行社交网络惯例的网络平台，旨在重新定义人类与生物大数据之间的关系，并改善人类对生物医学数据的处理。可通过lbgi.fr/mygenefriends访问MyGeneFriends。
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