Division of Biomedical and Health Informatics, University of Washington Medical School and Department of Bioengineering, University of Washington, Seattle, WA 98195, USA.
Bioinformatics. 2014 Feb 15;30(4):593-5. doi: 10.1093/bioinformatics/btt721. Epub 2013 Dec 13.
Modern scientific investigation is generating increasingly larger datasets, yet analyzing these data with current tools is challenging. DIVE is a software framework intended to facilitate big data analysis and reduce the time to scientific insight. Here, we present features of the framework and demonstrate DIVE's application to the Dynameomics project, looking specifically at two proteins.
Binaries and documentation are available at http://www.dynameomics.org/DIVE/DIVESetup.exe.
现代科学研究产生的数据集越来越大，但使用当前的工具分析这些数据具有挑战性。 DIVE 是一个软件框架，旨在促进大数据分析并缩短获得科学见解的时间。在这里，我们介绍了该框架的一些特性，并展示了 DIVE 在 Dynameomics 项目中的应用，具体研究了两种蛋白质。
二进制文件和文档可在 http://www.dynameomics.org/DIVE/DIVESetup.exe 获得。
