Package: qp 0.1.0

qp: A toolkit for analyzing protein quantification results

What the package does (one paragraph).

Authors:Kai Aragaki [aut, cre]

qp_0.1.0.tar.gz
qp_0.1.0.zip(r-4.5)qp_0.1.0.zip(r-4.4)qp_0.1.0.zip(r-4.3)
qp_0.1.0.tgz(r-4.4-any)qp_0.1.0.tgz(r-4.3-any)
qp_0.1.0.tar.gz(r-4.5-noble)qp_0.1.0.tar.gz(r-4.4-noble)
qp_0.1.0.tgz(r-4.4-emscripten)qp_0.1.0.tgz(r-4.3-emscripten)
qp.pdf |qp.html✨
qp/json (API)

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

Peer review:

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

Datasets:
  • absorbances - Absorbances from a protein quantification

On CRAN:

3.40 score 8 scripts 42 downloads 16 exports 78 dependencies

Last updated 7 months agofrom:98d820ab2c. Checks:OK: 1 ERROR: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 03 2024
R-4.5-winERRORNov 03 2024
R-4.5-linuxERRORNov 03 2024
R-4.4-winERRORNov 03 2024
R-4.4-macERRORNov 03 2024
R-4.3-winERRORNov 03 2024
R-4.3-macERRORNov 03 2024

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:base64encbigDbitopsbslibcachemclicodetoolscolorspacecommonmarkcpp11curldigestdoSNOWdplyrevaluatefansifarverfastmapfontawesomeforeachfsgenericsggplot2gluegplategtgtablehighrhtmltoolshtmlwidgetsisobanditeratorsjquerylibjsonlitejuicyjuiceknitrlabelinglatticelifecyclemagrittrmarkdownMASSMatrixmemoisemgcvmimemopmunsellnlmepillarpkgconfigpurrrR6rappdirsRColorBrewerRcppreactablereactRrlangrmarkdownsassscalessnowstringistringrterratibbletidyrtidyselecttinytexutf8V8vctrsviridisLitewithrxfunxml2yaml

Quantifying protein with qp

Rendered fromquantifying-protein-with-qp.Rmdusingknitr::rmarkdownon Nov 03 2024.

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