Capece Vincenzo, Garcia Vizcaino Julio C, Vidal Ramon, Rahman Raza-Ur, Pena Centeno Tonatiuh, Shomroni Orr, Suberviola Irantzu, Fischer Andre, Bonn Stefan
Laboratory of Computational Systems Biology and Laboratory of Epigenetic Mechanisms in Dementia, German Center for Neurodegenerative Diseases, 37077 Goettingen, Germany.
Laboratory of Computational Systems Biology and Laboratory of Epigenetic Mechanisms in Dementia, German Center for Neurodegenerative Diseases, 37077 Goettingen, Germany Laboratory of Computational Systems Biology and Laboratory of Epigenetic Mechanisms in Dementia, German Center for Neurodegenerative Diseases, 37077 Goettingen, Germany.
Bioinformatics. 2015 Jul 1;31(13):2205-7. doi: 10.1093/bioinformatics/btv113. Epub 2015 Feb 19.
Oasis is a web application that allows for the fast and flexible online analysis of small-RNA-seq (sRNA-seq) data. It was designed for the end user in the lab, providing an easy-to-use web frontend including video tutorials, demo data and best practice step-by-step guidelines on how to analyze sRNA-seq data. Oasis' exclusive selling points are a differential expression module that allows for the multivariate analysis of samples, a classification module for robust biomarker detection and an advanced programming interface that supports the batch submission of jobs. Both modules include the analysis of novel miRNAs, miRNA targets and functional analyses including GO and pathway enrichment. Oasis generates downloadable interactive web reports for easy visualization, exploration and analysis of data on a local system. Finally, Oasis' modular workflow enables for the rapid (re-) analysis of data.
Oasis is implemented in Python, R, Java, PHP, C++ and JavaScript. It is freely available at http://oasis.dzne.de.
Supplementary data are available at Bioinformatics online.
Oasis是一个网络应用程序，可对小RNA测序（sRNA-seq）数据进行快速灵活的在线分析。它是为实验室的终端用户设计的，提供了一个易于使用的网络前端，包括视频教程、演示数据以及关于如何分析sRNA-seq数据的最佳实践分步指南。Oasis的独特卖点包括一个允许对样本进行多变量分析的差异表达模块、一个用于可靠生物标志物检测的分类模块以及一个支持批量提交任务的高级编程接口。这两个模块都包括对新miRNA、miRNA靶标的分析以及包括GO和通路富集在内的功能分析。Oasis生成可下载的交互式网络报告，以便在本地系统上轻松可视化、探索和分析数据。最后，Oasis的模块化工作流程能够对数据进行快速（重新）分析。
Oasis用Python、R、Java、PHP、C++和JavaScript实现。可从http://oasis.dzne.de免费获取。
补充数据可在《生物信息学》在线获取。
