%global __brp_check_rpaths %{nil} %global __requires_exclude ^libmpi %global packname RQdeltaCT %global packver 1.3.0 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 1.3.0 Release: 1%{?dist}%{?buildtag} Summary: Relative Quantification of Gene Expression using Delta Ct Methods License: GPL-3 URL: https://cran.r-project.org/package=%{packname} Source0: %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz BuildRequires: R-devel >= 2.10 Requires: R-core >= 2.10 BuildArch: noarch BuildRequires: R-CRAN-tidyverse BuildRequires: R-CRAN-dplyr BuildRequires: R-CRAN-ggplot2 BuildRequires: R-CRAN-magrittr BuildRequires: R-CRAN-tidyr BuildRequires: R-CRAN-tidyselect BuildRequires: R-CRAN-coin BuildRequires: R-CRAN-ctrlGene BuildRequires: R-CRAN-ggsignif BuildRequires: R-CRAN-Hmisc BuildRequires: R-CRAN-corrplot BuildRequires: R-CRAN-ggpmisc BuildRequires: R-CRAN-pROC BuildRequires: R-CRAN-oddsratio BuildRequires: R-stats BuildRequires: R-graphics BuildRequires: R-grDevices BuildRequires: R-utils BuildRequires: R-CRAN-pheatmap BuildRequires: R-CRAN-GGally Requires: R-CRAN-tidyverse Requires: R-CRAN-dplyr Requires: R-CRAN-ggplot2 Requires: R-CRAN-magrittr Requires: R-CRAN-tidyr Requires: R-CRAN-tidyselect Requires: R-CRAN-coin Requires: R-CRAN-ctrlGene Requires: R-CRAN-ggsignif Requires: R-CRAN-Hmisc Requires: R-CRAN-corrplot Requires: R-CRAN-ggpmisc Requires: R-CRAN-pROC Requires: R-CRAN-oddsratio Requires: R-stats Requires: R-graphics Requires: R-grDevices Requires: R-utils Requires: R-CRAN-pheatmap Requires: R-CRAN-GGally %description The commonly used methods for relative quantification of gene expression levels obtained in real-time PCR (Polymerase Chain Reaction) experiments are the delta Ct methods, encompassing 2^-dCt and 2^-ddCt methods, originally proposed by Kenneth J. Livak and Thomas D. Schmittgen (2001) . The main idea is to normalise gene expression values using endogenous control gene, present gene expression levels in linear form by using the 2^-(value)^ transformation, and calculate differences in gene expression levels between groups of samples (or technical replicates of a single sample). The 'RQdeltaCT' package offers functions that cover both methods for comparison of either independent groups of samples or groups with paired samples, together with importing expression datasets, performing multi-step quality control of data, enabling numerous data visualisations, enrichment of the standard workflow with additional useful analyses (correlation analysis, Receiver Operating Characteristic analysis, logistic regression), and conveniently export obtained results in table and image formats. The package has been designed to be friendly to non-experts in R programming. %prep %setup -q -c -n %{packname} # fix end of executable files find -type f -executable -exec grep -Iq . {} \; -exec sed -i -e '$a\' {} \; # prevent binary stripping [ -d %{packname}/src ] && find %{packname}/src -type f -exec \ sed -i 's@/usr/bin/strip@/usr/bin/true@g' {} \; || true [ -d %{packname}/src ] && find %{packname}/src/Make* -type f -exec \ sed -i 's@-g0@@g' {} \; || true # don't allow local prefix in executable scripts find -type f -executable -exec sed -Ei 's@#!( )*/usr/local/bin@#!/usr/bin@g' {} \; %build %install mkdir -p %{buildroot}%{rlibdir} %{_bindir}/R CMD INSTALL -l %{buildroot}%{rlibdir} %{packname} test -d %{packname}/src && (cd %{packname}/src; rm -f *.o *.so) rm -f %{buildroot}%{rlibdir}/R.css # remove buildroot from installed files find %{buildroot}%{rlibdir} -type f -exec sed -i "s@%{buildroot}@@g" {} \; %files %{rlibdir}/%{packname}