title: SASqPCR: robust and rapid analysis of RT-qPCR data in SAS.
abstract: Reverse transcription quantitative real-time PCR (RT-qPCR) is a key method for measurement of relative gene expression. Analysis of RT-qPCR data requires many iterative computations for data normalization and analytical optimization. Currently no computer program for RT-qPCR data analysis is suitable for analytical optimization and user-controllable customization based on data quality, experimental design as well as specific research aims. Here I introduce an all-in-one computer program, SASqPCR, for robust and rapid analysis of RT-qPCR data in SAS. This program has multiple macros for assessment of PCR efficiencies, validation of reference genes, optimization of data normalizers, normalization of confounding variations across samples, and statistical comparison of target gene expression in parallel samples. Users can simply change the macro variables to test various analytical strategies, optimize results and customize the analytical processes. In addition, it is highly automatic and functionally extendable. Thus users are the actual decision-makers controlling RT-qPCR data analyses. SASqPCR and its tutorial are freely available at http://code.google.com/p/sasqpcr/downloads/list.
authors.affiliation: Department of Neuroscience, Beckman Research Institute of City of Hope, Duarte, California, United States of America. lingdaijun@gmail.com
authors.forename: Daijun
authors.initials: D
authors.lastname: Ling
mesh_terms: D000465:Algorithms; D000818:Animals; D002138:Calibration; D003627:Data Interpretation, Statistical; D004526:Efficiency; D020869:Gene Expression Profiling / Q000379:methods; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods* / Q000592:standards; D008954:Models, Biological; D020133:Reverse Transcriptase Polymerase Chain Reaction / Q000379:methods* / Q000592:standards / Q000706:statistics & numerical data*; D012680:Sensitivity and Specificity; D012984:Software; D013997:Time Factors