Scenedesmus: Concentration-response effect of triclosan in Scenedesmus...

Description Usage Format Source Examples

Description

Metabolomic and apical data sets for the effect of triclosan in the chlorophyte Scenedesmus vacuolatus.

Usage

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Format

Scenedesmus_metab contains one row per metabolite, with the first column corresponding to the identifier of each metabolite, and the other columns giving the log10 tranformed area under the curve for each replicate at each concentration. In the first line, after the name for the identifier column, we have the tested concentrations for each corresponding replicate.

Scenedesmus_apical contains one row per apical endpoint, with the first column corresponding to the identifier of each endpoint, and the other columns giving the measured value of this each endpoint for each replicate at each concentration. In the first line, after the name for the identifier column, we have the tested concentrations for each corresponding replicate.

Source

Larras, F., Billoir, E., Scholz, S., Tarkka, M., Wubet, T., Delignette-Muller, M. L., & Schmitt-Jansen, M. (2020). A multi-omics concentration-response framework uncovers novel understanding of triclosan effects in the chlorophyte Scenedesmus vacuolatus. Journal of Hazardous Materials, 122727.

Examples

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# (1.1) load of metabolomics data
#
data(Scenedesmus_metab)
head(Scenedesmus_metab)
str(Scenedesmus_metab)



# (1.2) import and check of metabolomics data
#
(o_metab <- continuousomicdata(Scenedesmus_metab))
plot(o_metab)

# (2.1) load of apical data
#
data(Scenedesmus_apical)
head(Scenedesmus_apical)
str(Scenedesmus_apical)

# (2.2) import and check of apical data
#
(o_apical <- continuousanchoringdata(Scenedesmus_apical, backgrounddose = 0.1))
# It is here necessary to define the background dose as there is no dose at 0 in the data
# The BMD cannot be computed without defining the background level
plot(o_apical)

# (2.3) selection of responsive endpoints on apical data
#
(s_apical <- itemselect(o_apical, select.method = "quadratic", FDR = 0.05))

# (2.4) fit of dose-response models on apical data
#
(f_apical <- drcfit(s_apical, progressbar = TRUE))
f_apical$fitres
plot(f_apical) 
plot(f_apical, dose_log_trans = TRUE)
plot(f_apical, plot.type = "dose_residuals")

# (2.5) Benchmark dose calculation on apical data
#
r_apical <- bmdcalc(f_apical, z = 1)
r_apical$res

aursiber/DRomics documentation built on Nov. 30, 2021, 7:06 a.m.