Professor Nazneen Rahman

۱۳۹۰ چهارشنبه ۳۰ آذر 5:38

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Professor Nazneen Rahman is Head of the Division of Genetics and Epidemiology at The Institute of Cancer Research and Head of the Cancer Genetics Clinical Unit at The Royal Marsden NHS Foundation Trust. She qualified in medicine from Oxford University in 1991, and undertook her general medical training in Oxford and London. Professor Rahman completed a PhD in Molecular Genetics in 1999.In her research role, Professor Rahman leads two research groups which aim to identify genes that predispose to breast and/or childhood cancers. Thousands of families from throughout the UK are participating in her research, which has been highly successful in identifying new genes and genetic mechanism that cause cancer .In her clinical role she is responsible for the cancer genetics service at The Royal Marsden, and she practises as a Consultant Clinical Geneticist at The Royal Marsden and St George’s Hospital. Division of Breast Cancer Research Division of Genetics and Epidemiology Tel: 0208 722 4026 Email: nazneen.rahman@icr.ac.uk Location: Sir Richard Doll Building, Sutton

analysis of quantitative real-time PCR

۱۳۹۰ يکشنبه ۲۷ آذر 8:45

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  Even though real-time PCR has been broadly applied in biomedical sciences, data processing procedures for the analysis of quantitative real-time PCR are still lacking; specifically in the realm of appropriate statistical treatment. Confidence interval and statistical significance considerations are not explicit in many of the current data analysis approaches. Based on the standard curve method and other useful data analysis methods, we present and compare four statistical approaches and models for the analysis of real-time PCR data. In the first approach, a multiple regression analysis model was developed to derive ΔΔCt from estimation of interaction of gene and treatment effects. In the second approach, an ANCOVA(analysis of covariance) model was proposed, and the ΔΔCt can be derived from analysis of effects of variables. The other two models involve calculation ΔCt followed by a two group t-test and nonparametric analogous Wilcoxon test. SAS programs were developed for all four models and data output for analysis of a sample set are presented. In addition, a data quality control model was developed and implemented using SAS. Practical statistical solutions with SAS programs were developed for real-time PCR data and a sample dataset was analyzed with the SAS programs. The analysis using the various models and programs yielded similar results. Data quality control and analysis procedures presented here provide statistical elements for the estimation of the relative expression of genes using real-time PCR

Methods for Estimation of PCR Amplification Efficiencies

۱۳۹۰ شنبه ۲۶ آذر 9:9

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      Various strategies have been proposed and practiced to estimate the amplification efficiency of PCR. These include:   (1) The slope-derived efficiency calculation from the standard curve method using threshold cycle(Ct) or crossing point (CP) values determined either from           (a) The fit-point method         (b) The second derivative maximum (SDM) of the four-parameter                 logistic model   (2) The single amplification plot methods to compute the efficiency values from individual PCR kinetic curves using comprehensive algorithms such as:         (a) The mid-value point regression (Data Analysis for Real-Time PCR )            (b) The window-of-linearity algorithm (LinReg PCR)             (c) The noise-resistant iterative nonlinear regression (Real-Time PCR Miner).  

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