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使用Panomicon进行现代多组学数据探索体验。

A modern multi-omics data exploration experience with Panomicon.

作者信息

Allendes Osorio Rodolfo S, Kosugi Yuji, Nyström-Persson Johan T, Mizuguchi Kenji, Natsume-Kitatani Yayoi

机构信息

Premium Research Institute for Human Metaverse Medicine (WPI-PRIMe), Osaka University, Suita, Osaka 565-0871, Japan.

AI Center for Health and Biomedical Research (ArCHER), National Institutes of Biomedical Innovation, Health and Nutrition, Setsu, Osaka 566-0002, Japan.

出版信息

Bioinform Adv. 2024 Oct 3;4(1):vbae147. doi: 10.1093/bioadv/vbae147. eCollection 2024.

Abstract

SUMMARY

To address the challenges of the storage, sharing, and analysis of multi-omics data, here we introduce the newest version of Panomicon, which includes the improvement of the underlying data model, the introduction of new registration and control access service, together with the seamless integration with other services (like TargetMine for data enrichment analysis), integrated in a completely new, more user friendly web application.

AVAILABILITY AND IMPLEMENTATION

Panomicon is available online at https://panomicon.nibiohn.go.jp. Unregistered users can access the publicly available data uploaded to Panomicon using the following account: user: guest, password: anonymous. Source code for the application is also freely available under a GNU license at https://github.com/Toxygates/Panomicon/. A brief user guide for the new features of Panomicon is provided as supplementary material online.

摘要

摘要

为应对多组学数据存储、共享和分析的挑战,我们在此介绍最新版本的Panomicon,其中包括基础数据模型的改进、新注册和控制访问服务的引入,以及与其他服务(如用于数据富集分析的TargetMine)的无缝集成,并集成到一个全新的、更用户友好的网络应用程序中。

可用性与实现

Panomicon可在https://panomicon.nibiohn.go.jp在线获取。未注册用户可以使用以下账户访问上传到Panomicon的公开可用数据:用户名:guest,密码:anonymous。该应用程序的源代码也可在GNU许可下从https://github.com/Toxygates/Panomicon/免费获取。Panomicon新功能的简要用户指南作为在线补充材料提供。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b90/11520228/3ce5bb54467d/vbae147f1.jpg

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