Real-Time PCR Data Sets by Batsch et al. (2008)

Real-time quantitative polymerase chain reaction (qPCR) data sets by Batsch et al. (2008) . This package provides five data sets, one for each PCR target: (i) rat SLC6A14, (ii) human SLC22A13, (iii) pig EMT, (iv) chicken ETT, and (v) human GAPDH. Each data set comprises a five-point, four-fold dilution series. For each concentration there are three replicates. Each amplification curve is 45 cycles long. Original raw data file: < https://static-content.springer.com/esm/art%3A10.1186%2F1471-2105-9-95/MediaObjects/12859_2007_2080_MOESM5_ESM.xls>.

batsch

{batsch} provides real-time PCR data sets by Batsch et al. (2008) in tidy format. There are five data sets bundled with this package, one for each PCR target:

• SLC6A14r for rat SLC6A14
• SLC22A13h for human SLC22A13
• EMTp for pig EMT
• ETTch for chicken ETT
• GAPDHh for human GAPDH

Each data set comprises a five-point, four-fold dilution series. For each concentration there are three replicates. Each amplification curve is 45 cycles long.

Installation

Install {batsch} from CRAN:

# Install from CRAN
install.packages("batsch")

You can instead install the development version of {batsch} from GitHub:

# install.packages("remotes")
remotes::install_github("ramiromagno/batsch")

Usage

Rat SLC6A14

library(batsch)

SLC6A14r |>
  ggplot(mapping = aes(
    x = cycle,
    y = fluor,
    group = interaction(dilution, replicate),
    col = as.factor(dilution)
  )) +
  geom_line(linewidth = 0.5) +
  labs(y = "Raw fluorescence", colour = "Dilution factor", title = "Rat SLC6A14") +
  guides(color = guide_legend(override.aes = list(size = 0.5)))

Human SLC22A13

SLC22A13h |>
  ggplot(mapping = aes(
    x = cycle,
    y = fluor,
    group = interaction(dilution, replicate),
    col = as.factor(dilution)
  )) +
  geom_line(linewidth = 0.5) +
  labs(y = "Raw fluorescence", colour = "Dilution factor", title = "Human SLC22A13") +
  guides(color = guide_legend(override.aes = list(size = 0.5)))

Pig EMT

EMTp |>
  ggplot(mapping = aes(
    x = cycle,
    y = fluor,
    group = interaction(dilution, replicate),
    col = as.factor(dilution)
  )) +
  geom_line(linewidth = 0.5) +
  labs(y = "Raw fluorescence", colour = "Dilution factor", title = "Pig EMT") +
  guides(color = guide_legend(override.aes = list(size = 0.5)))

Chicken ETT

ETTch |>
  ggplot(mapping = aes(
    x = cycle,
    y = fluor,
    group = interaction(dilution, replicate),
    col = as.factor(dilution)
  )) +
  geom_line(linewidth = 0.5) +
  labs(y = "Raw fluorescence", colour = "Dilution factor", title = "Chicken ETT") +
  guides(color = guide_legend(override.aes = list(size = 0.5)))

Human GAPDH

GAPDHh |>
  ggplot(mapping = aes(
    x = cycle,
    y = fluor,
    group = interaction(dilution, replicate),
    col = as.factor(dilution)
  )) +
  geom_line(linewidth = 0.5) +
  labs(y = "Raw fluorescence", colour = "Dilution factor", title = "Human GAPDH") +
  guides(color = guide_legend(override.aes = list(size = 0.5)))

Code of Conduct

Please note that the {batsch} project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

References

• Anke Batsch, Andrea Noetel, Christian Fork, Anita Urban, Daliborka Lazic, Tina Lucas, Julia Pietsch, Andreas Lazar, Edgar Schömig & Dirk Gründemann. Simultaneous fitting of real-time PCR data with efficiency of amplification modeled as Gaussian function of target fluorescence. BMC Bioinformatics 9:95 (2008). doi: 10.1186/1471-2105-9-95.