Draghici Sorin, Tarca Adi L, Yu Longfei, Ethier Stephen, Romero Roberto
Department of Computer Science, Wayne State University, 431 State Hall, Detroit, MI 48202, USA.
Bioinformatics. 2008 Mar 1;24(5):738-40. doi: 10.1093/bioinformatics/btm559. Epub 2007 Nov 17.
The BioArray Software Environment (BASE) is a very popular MIAME-compliant, web-based microarray data repository. However in BASE, like in most other microarray data repositories, the experiment annotation and raw data uploading can be very timeconsuming, especially for large microarray experiments.
We developed KUTE (Karmanos Universal daTabase for microarray Experiments), as a plug-in for BASE 2.0 that addresses these issues. KUTE provides an automatic experiment annotation feature and a completely redesigned data work-flow that dramatically reduce the human-computer interaction time. For instance, in BASE 2.0 a typical Affymetrix experiment involving 100 arrays required 4 h 30 min of user interaction time forexperiment annotation, and 45 min for data upload/download. In contrast, for the same experiment, KUTE required only 28 min of user interaction time for experiment annotation, and 3.3 min for data upload/download.
生物芯片软件环境（BASE）是一个非常受欢迎的、符合MIAME标准的基于网络的微阵列数据存储库。然而，在BASE中，与大多数其他微阵列数据存储库一样，实验注释和原始数据上传可能非常耗时，尤其是对于大型微阵列实验。
我们开发了KUTE（卡曼诺斯微阵列实验通用数据库），作为BASE 2.0的一个插件来解决这些问题。KUTE提供了自动实验注释功能和完全重新设计的数据工作流程，极大地减少了人机交互时间。例如，在BASE 2.0中，一个涉及100个阵列的典型Affymetrix实验需要4小时30分钟的用户交互时间来进行实验注释，以及45分钟的数据上传/下载。相比之下，对于相同的实验，KUTE进行实验注释仅需要28分钟的用户交互时间，数据上传/下载需要3.3分钟。
