Doris P A, Hayward-Lester A, Hays J K
Department of Cell Biology, Texas Tech University Health Sciences Center, Lubbock 79430, USA.
Comput Appl Biosci. 1997 Dec;13(6):587-91. doi: 10.1093/bioinformatics/13.6.587.
We have developed software to assist in the computation of gene expression from data obtained in competitive reverse transcription-polymerase chain reaction (RT-PCR). This report describes the mathematical basis of competitive RT-PCR and discusses the criteria which must be met to permit accurate estimations of gene expression to be obtained using this technique.
The software that has been developed assists in both the assessment of assay performance (specifically in establishing the equality of amplification efficiency of the native and competitor templates) and in the routine analysis of data obtained in quantitation of gene expression by competitive RT-PCR. The software is a 100 kb module which functions as a Microsoft Excel add-in. It is compatible with both Windows and Mac versions of Excel 5 and Excel 7 on the Windows 95 platform, and employs the spreadsheet, statistical and graphing capabilities incorporated into Excel.
The software can be downloaded from http://www.grad.ttuhsc.edu/archive/. A brief summary in both HTML and Microsoft Word 6 format of the installation and use of the software is also located at this website.
我们已经开发出一款软件，用于辅助从竞争性逆转录 - 聚合酶链反应（RT-PCR）获得的数据中计算基因表达。本报告描述了竞争性RT-PCR的数学基础，并讨论了使用该技术获得基因表达准确估计值必须满足的标准。
所开发的软件有助于评估检测性能（特别是确定天然模板和竞争模板的扩增效率是否相等），以及对通过竞争性RT-PCR进行基因表达定量时获得的数据进行常规分析。该软件是一个100 kb的模块，作为Microsoft Excel加载项运行。它与Windows 95平台上的Excel 5和Excel 7的Windows和Mac版本兼容，并利用了Excel中包含的电子表格、统计和绘图功能。
该软件可从http://www.grad.ttuhsc.edu/archive/下载。该网站还提供了软件安装和使用的HTML和Microsoft Word 6格式的简要摘要。
