Package: pcr 1.2.2

pcr: Analyzing Real-Time Quantitative PCR Data

Calculates the amplification efficiency and curves from real-time quantitative PCR (Polymerase Chain Reaction) data. Estimates the relative expression from PCR data using the double delta CT and the standard curve methods Livak & Schmittgen (2001) <doi:10.1006/meth.2001.1262>. Tests for statistical significance using two-group tests and linear regression Yuan et al. (2006) <doi:10.1186/1471-2105-7-85>.

Authors:Mahmoud Ahmed [aut, cre]

pcr_1.2.2.tar.gz
pcr_1.2.2.zip(r-4.5)pcr_1.2.2.zip(r-4.4)pcr_1.2.2.zip(r-4.3)
pcr_1.2.2.tgz(r-4.4-any)pcr_1.2.2.tgz(r-4.3-any)
pcr_1.2.2.tar.gz(r-4.5-noble)pcr_1.2.2.tar.gz(r-4.4-noble)
pcr_1.2.2.tgz(r-4.4-emscripten)pcr_1.2.2.tgz(r-4.3-emscripten)
pcr.pdf |pcr.html
pcr/json (API)
NEWS

# Install 'pcr' in R:
install.packages('pcr', repos = c('https://mahshaaban.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/mahshaaban/pcr/issues

Datasets:
  • ct1 - C_T values from qPCR
  • ct2 - C_T values from qPCR
  • ct3 - C_T values from qPCR
  • ct4 - C_T values from qPCR

On CRAN:

data-analysesmolecular-biologyqpcr

11 exports 25 stars 3.67 score 28 dependencies 16 mentions 58 scripts 336 downloads

Last updated 2 months agofrom:0c5242ce9b. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 13 2024
R-4.5-winNOTESep 13 2024
R-4.5-linuxNOTESep 13 2024
R-4.4-winNOTESep 13 2024
R-4.4-macNOTESep 13 2024
R-4.3-winNOTESep 13 2024
R-4.3-macNOTESep 13 2024

Exports:pcr_analyzepcr_assesspcr_curvepcr_dctpcr_ddctpcr_efficiencypcr_lmpcr_standardpcr_testpcr_ttestpcr_wilcox

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr

Analysis of real-time qPCR data

Rendered fromqpcr_analysis.Rmdusingknitr::rmarkdownon Sep 13 2024.

Last update: 2019-10-03
Started: 2017-10-24