Simon Perikles
Section for Neurobiology of the Eye, University Eye Hospital Tuebingen, Calwerstr. 7/1, 72076 Tuebingen, Germany.
Bioinformatics. 2003 Jul 22;19(11):1439-40. doi: 10.1093/bioinformatics/btg157.
Q-Gene is an application for the processing of quantitative real-time RT-PCR data. It offers the user the possibility to freely choose between two principally different procedures to calculate normalized gene expressions as either means of Normalized Expressions or Mean Normalized Expressions. In this contribution it will be shown that the calculation of Mean Normalized Expressions has to be used for processing simplex PCR data, while multiplex PCR data should preferably be processed by calculating Normalized Expressions. The two procedures, which are currently in widespread use and regarded as more or less equivalent alternatives, should therefore specifically be applied according to the quantification procedure used.
Web access to this program is provided at http://www.biotechniques.com/softlib/qgene.html
Q-Gene是一款用于处理定量实时逆转录聚合酶链反应(RT-PCR)数据的应用程序。它为用户提供了在两种本质上不同的程序之间自由选择的可能性,以计算标准化基因表达,即标准化表达均值或平均标准化表达。在本论文中将会表明,处理单重PCR数据时必须使用平均标准化表达的计算方法,而多重PCR数据最好通过计算标准化表达来处理。因此,目前广泛使用且被视为或多或少等效替代方法的这两种程序,应根据所使用的定量程序具体应用。