{ "_id": "6a10357bacfb0bcc41c99aeb", "Package": "RQdeltaCT", "Type": "Package", "Title": "Relative Quantification of Gene Expression using Delta Ct\nMethods", "Version": "1.3.3", "Authors@R": "person(\"Daniel\", \"Zalewski\", role = c(\"aut\", \"cre\"), email = \"daniel.piotr.zalewski@gmail.com\", comment = c(ORCID = \"0000-0002-2254-2009\"))", "Description": "The commonly used methods for relative quantification of\ngene expression levels obtained in real-time PCR (Polymerase\nChain Reaction) experiments are the delta Ct methods,\nencompassing 2^-dCt and 2^-ddCt methods, originally proposed by\nKenneth J. Livak and Thomas D. Schmittgen (2001)\n. The main idea is to normalise\ngene expression values using endogenous control gene, present\ngene expression levels in linear form by using the 2^-(value)^\ntransformation, and calculate differences in gene expression\nlevels between groups of samples (or technical replicates of a\nsingle sample). The 'RQdeltaCT' package offers functions that\ncover both methods for comparison of either independent groups\nof samples or groups with paired samples, together with\nimporting expression datasets, performing multi-step quality\ncontrol of data, enabling numerous data visualisations,\nenrichment of the standard workflow with additional useful\nanalyses (correlation analysis, Receiver Operating\nCharacteristic analysis, logistic regression), and conveniently\nexport obtained results in table and image formats. 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