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]

qp_0.2.0.tar.gz
qp_0.2.0.zip(r-4.7)qp_0.2.0.zip(r-4.6)qp_0.2.0.zip(r-4.5)
qp_0.2.0.tgz(r-4.6-any)qp_0.2.0.tgz(r-4.5-any)
qp_0.2.0.tar.gz(r-4.7-any)qp_0.2.0.tar.gz(r-4.6-any)
qp_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
qp/json (API)

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

Bug tracker:https://github.com/kaiaragaki/qp/issues

Pkgdown/docs site:https://kaiaragaki.github.io

Datasets:
  • absorbances - Absorbances from a protein quantification

On CRAN:

Conda:

2.70 score 8 scripts 1 downloads 16 exports 72 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64ERROR161
source / vignettesOK204
linux-release-x86_64ERROR157
macos-release-arm64ERROR133
macos-oldrel-arm64ERROR100
windows-develERROR111
windows-releaseERROR90
windows-oldrelERROR81
wasm-releaseOK143

Exports:dilutemake_pipette_volqpqp_add_namesqp_add_std_concqp_calc_abs_meanqp_calc_concqp_diluteqp_fitqp_mark_outliersqp_plot_plateqp_plot_standardsqp_remove_emptyqp_reportqp_summarizeqp_tidy

Dependencies:base64encbigDbitopsbslibcachemclicodetoolscommonmarkcpp11curldigestdoSNOWdplyrevaluatefarverfastmapfontawesomeforeachfsgenericsggplot2gluegplategtgtablehighrhtmltoolshtmlwidgetsisobanditeratorsjquerylibjsonlitejuicyjuiceknitrlabelinglifecyclelitedownmagrittrmarkdownmemoisemimemoppillarpkgconfigpurrrR6rappdirsRColorBrewerRcppreactablereactRrlangrmarkdownS7sassscalessnowstringistringrterratibbletidyrtidyselecttinytexutf8V8vctrsviridisLitewithrxfunxml2yaml

Quantifying protein with qp

Rendered fromquantifying-protein-with-qp.Rmdusingknitr::rmarkdownon May 19 2026.

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

Readme and manuals

Help Manual

Help pageTopics
Convert an absorbance to a hexidecimal colorabs_to_col
Absorbances from a protein quantificationabsorbances
Calculate dilution from known concentrationsdilute
Round volume to be pipette-compatiblemake_pipette_vol
Quantify protein concentration from a MicroBCA assayqp
Add sample namesqp_add_names qp_add_names.data.frame qp_add_names.list
Add known concentrations of protein to standard samplesqp_add_std_conc qp_add_std_conc.data.frame qp_add_std_conc.list
Calculate absorbance means with optional outlier removalqp_calc_abs_mean qp_calc_abs_mean.data.frame qp_calc_abs_mean.list
Predict concentrations from standards fitqp_calc_conc
Calculate dilutions from predicted concentrationsqp_dilute qp_dilute.data.frame qp_dilute.list
Fit an lm using standards absorbancesqp_fit qp_fit.data.frame qp_fit.list
Mark absorbance outliersqp_mark_outliers qp_mark_outliers.data.frame qp_mark_outliers.list
The default color palette for qpqp_pal
View the absorbances of an analyzed 'qp' as they were on the plateqp_plot_plate
View an absorbance/concentration plotqp_plot_standards
Remove empty wells from dataqp_remove_empty qp_remove_empty.data.frame qp_remove_empty.list
Create a report for a protein quantificaiton experimentqp_report
Summarize output from qp pipelineqp_summarize qp_summarize.data.frame qp_summarize.list
Read in and wrangle protein quantification dataqp_tidy qp_tidy.character qp_tidy.default qp_tidy.gp qp_tidy.spectramax qp_tidy.synergy2