Package: qp 0.2.0

Kai Aragaki

qp: A toolkit for analyzing protein quantification results

What the package does (one paragraph).

Authors:Kai Aragaki [aut, cre]

# Install 'qp' in R:

install.packages('qp', repos = c('https://kaiaragaki.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

On CRAN:

Last updated from:2100500939. Checks:7 ERROR, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	ERROR	150
source / vignettes	OK	216
linux-release-x86_64	ERROR	159
macos-release-arm64	ERROR	94
macos-oldrel-arm64	ERROR	127
windows-devel	ERROR	95
windows-release	ERROR	89
windows-oldrel	ERROR	89
wasm-release	OK	130

Last update: 2023-10-28
Started: 2023-10-26

Help page	Topics
Convert an absorbance to a hexidecimal color	abs_to_col
Absorbances from a protein quantification	absorbances
Calculate dilution from known concentrations	dilute
Round volume to be pipette-compatible	make_pipette_vol
Quantify protein concentration from a MicroBCA assay	qp
Add sample names	qp_add_names qp_add_names.data.frame qp_add_names.list
Add known concentrations of protein to standard samples	qp_add_std_conc qp_add_std_conc.data.frame qp_add_std_conc.list
Calculate absorbance means with optional outlier removal	qp_calc_abs_mean qp_calc_abs_mean.data.frame qp_calc_abs_mean.list
Predict concentrations from standards fit	qp_calc_conc
Calculate dilutions from predicted concentrations	qp_dilute qp_dilute.data.frame qp_dilute.list
Fit an lm using standards absorbances	qp_fit qp_fit.data.frame qp_fit.list
Mark absorbance outliers	qp_mark_outliers qp_mark_outliers.data.frame qp_mark_outliers.list
The default color palette for qp	qp_pal
View the absorbances of an analyzed 'qp' as they were on the plate	qp_plot_plate
View an absorbance/concentration plot	qp_plot_standards
Remove empty wells from data	qp_remove_empty qp_remove_empty.data.frame qp_remove_empty.list
Create a report for a protein quantificaiton experiment	qp_report
Summarize output from qp pipeline	qp_summarize qp_summarize.data.frame qp_summarize.list
Read in and wrangle protein quantification data	qp_tidy qp_tidy.character qp_tidy.default qp_tidy.gp qp_tidy.spectramax qp_tidy.synergy2