Package: mpwR 0.1.5

Oliver Kardell

mpwR: Standardized Comparison of Workflows in Mass Spectrometry-Based Bottom-Up Proteomics

Useful functions to analyze proteomic workflows including number of identifications, data completeness, missed cleavages, quantitative and retention time precision etc. Various software outputs are supported such as 'ProteomeDiscoverer', 'Spectronaut', 'DIA-NN' and 'MaxQuant'.

Authors:Oliver Kardell [aut, cre]

mpwR_0.1.5.tar.gz
mpwR_0.1.5.tar.gz(r-4.5-noble)mpwR_0.1.5.tar.gz(r-4.4-noble)
mpwR_0.1.5.tgz(r-4.4-emscripten)mpwR_0.1.5.tgz(r-4.3-emscripten)
mpwR.pdf |mpwR.html✨
mpwR/json (API)
NEWS

# Install 'mpwR' in R:

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

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.30 score 8 scripts 273 downloads 22 exports 76 dependencies

Last updated 1 years agofrom:34175ea1a4. Checks:OK: 2. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 08 2024
R-4.5-linux	OK	Nov 08 2024

Exports:create_example get_CV_LFQ_pep get_CV_LFQ_pg get_CV_RT get_DC_Report get_ID_Report get_MC_Report get_summary_Report get_Upset_list load_experimental_design plot_CV_density plot_DC_barplot plot_DC_stacked_barplot plot_ID_barplot plot_ID_boxplot plot_MC_barplot plot_MC_stacked_barplot plot_radarchart plot_Upset prepare_mpwR write_experimental_design write_generic_template

Dependencies:askpass base64enc bslib cachem cli colorspace comprehenr cpp11 crosstalk curl data.table digest dplyr evaluate fansi farver fastmap flowTraceR fontawesome forcats fs generics ggplot2 glue gridExtra gtable highr htmltools htmlwidgets httr isoband jquerylib jsonlite knitr labeling later lattice lazyeval lifecycle magrittr MASS Matrix memoise mgcv mime munsell nlme openssl pillar pkgconfig plotly plyr promises purrr R6 rappdirs RColorBrewer Rcpp rlang rmarkdown sass scales stringi stringr sys tibble tidyr tidyselect tinytex UpSetR utf8 vctrs viridisLite withr xfun yaml

Import

Rendered fromImport.Rmdusingknitr::rmarkdownon Nov 08 2024.

Last update: 2022-06-22
Started: 2022-06-22

Output Explanations

Rendered fromOutput_Explanations.Rmdusingknitr::rmarkdownon Nov 08 2024.

Last update: 2023-11-14
Started: 2023-11-14

Requirements

Rendered fromRequirements.Rmdusingknitr::rmarkdownon Nov 08 2024.

Last update: 2023-11-14
Started: 2022-06-22

Workflow

Rendered fromWorkflow.Rmdusingknitr::rmarkdownon Nov 08 2024.