ReadqPCR and NormqPCR: R packages for the reading, quality checking and normalisation of RT-qPCR quantification cycle (Cq) data
Open Access
- 1 January 2012
- journal article
- Published by Springer Science and Business Media LLC in BMC Genomics
- Vol. 13 (1), 296
- https://doi.org/10.1186/1471-2164-13-296
Abstract
No abstract availableThis publication has 24 references indexed in Scilit:
- Selection of optimal reference genes for normalization in quantitative RT-PCRBMC Bioinformatics, 2010
- Inter-age variability of bona fide unvaried transcripts: Normalization of quantitative PCR data in ischemic strokeNeurobiology of Aging, 2010
- R Classes and Methods for SNP Array DataMethods in molecular biology (Clifton, N.J.), 2009
- Data-driven normalization strategies for high-throughput quantitative RT-PCRBMC Bioinformatics, 2009
- Validating nutrient-related gene expression changes from microarrays using RT2 PCR-arraysGenes & Nutrition, 2008
- Analyzing real-time PCR data by the comparative CT methodNature Protocols, 2008
- High Throughput Gene Expression Measurement with Real Time PCR in a Microfluidic Dynamic ArrayPLOS ONE, 2008
- Bioconductor: open software development for computational biology and bioinformaticsGenome Biology, 2004
- Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genesGenome Biology, 2002
- Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2−ΔΔCT MethodMethods, 2001