Package: MSstatsQCgui 1.33.0

Eralp Dogu

MSstatsQCgui: A graphical user interface for MSstatsQC package

MSstatsQCgui is a Shiny app which provides longitudinal system suitability monitoring and quality control tools for proteomic experiments.

Authors:Eralp Dogu [aut, cre], Sara Taheri [aut], Olga Vitek [aut]

MSstatsQCgui_1.33.0.tar.gz
MSstatsQCgui_1.33.0.zip(r-4.7)MSstatsQCgui_1.33.0.zip(r-4.6)MSstatsQCgui_1.33.0.zip(r-4.5)
MSstatsQCgui_1.33.0.tgz(r-4.6-any)MSstatsQCgui_1.33.0.tgz(r-4.5-any)
MSstatsQCgui_1.33.0.tar.gz(r-4.7-any)MSstatsQCgui_1.33.0.tar.gz(r-4.6-any)
MSstatsQCgui_1.33.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
MSstatsQCgui/json (API)

# Install 'MSstatsQCgui' in R:

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

Datasets:

S9Site54 - CPTAC study 9.1 site 54 dataset

On BioConductor:MSstatsQCgui-1.33.0(bioc 3.24)MSstatsQCgui-1.32.0(bioc 3.23)

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

software qualitycontrol proteomics massspectrometry gui

4.00 score 2 scripts 1 exports 188 dependencies

Last updated from:4cec04d877. Checks:1 WARNING, 9 OK. Indexed: yes.

Target	Result	Time
bioc-checks	WARNING	252
linux-devel-x86_64	OK	494
source / vignettes	OK	341
linux-release-x86_64	OK	491
macos-release-arm64	OK	197
macos-oldrel-arm64	OK	243
windows-devel	OK	329
windows-release	OK	319
windows-oldrel	OK	340
wasm-release	OK	215

Exports:RunMSstatsQC

Dependencies:abind affy affyio AnnotationFilter askpass backports base64enc BH Biobase BiocBaseUtils BiocGenerics biocmake BiocManager BiocParallel bitops boot broom bslib cachem car carData cli clue cluster codetools colorspace colourpicker combinat commonmark conf.design cowplot cpp11 crosstalk curl data.table DelayedArray Deriv digest dir.expiry doBy DoE.base doParallel dplyr evaluate farver fastmap filelock fontawesome foreach forecast formatR Formula fracdiff FrF2 fs futile.logger futile.options generics GenomicRanges ggExtra ggplot2 glue gmp gridExtra gtable h2o highr htmltools htmlwidgets httpuv httr igraph impute IRanges isoband iterators jquerylib jsonlite knitr labeling lambda.r later lattice lazyeval lifecycle limma lme4 lmtest magrittr MALDIquant MASS Matrix MatrixGenerics MatrixModels matrixStats memoise MetaboCoreUtils mgcv mime miniUI minqa modelr MsCoreUtils MSnbase MSstatsQC MultiAssayExperiment mzID mzR ncdf4 nlme nloptr nnet numbers numDeriv openssl otel pander partitions pbkrtest pcaMethods pillar pkgconfig plotly plyr polynom preprocessCore promises ProtGenerics PSMatch PTMods purrr qcmetrics QFeatures quantreg R6 rappdirs rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen RCurl Rdpack reformulas reshape2 Rhdf5lib rlang rmarkdown S4Arrays S4Vectors S7 sass scales scatterplot3d Seqinfo sets sfsmisc shiny shinyjs snow sourcetools SparseArray SparseM Spectra statmod stringi stringr SummarizedExperiment survival sys tibble tidyr tidyselect timeDate tinytex urca utf8 vcd vctrs viridisLite vsn withr xfun XML xtable XVector yaml zoo

MSstatsQCgui: A shiny app for longitudinal quality monitoring for proteomic experiments

Rendered fromMSstatsQCgui.Rmdusingknitr::rmarkdown

Last update: 2020-04-02
Started: 2018-03-19

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Shiny connection for example datasets	RunMSstatsQC
CPTAC study 9.1 site 54 dataset	S9Site54