Package: MSstatsLiP 1.13.0
MSstatsLiP: LiP Significance Analysis in shotgun mass spectrometry-based proteomic experiments
Tools for LiP peptide and protein significance analysis. Provides functions for summarization, estimation of LiP peptide abundance, and detection of changes across conditions. Utilizes functionality across the MSstats family of packages.
Authors:
MSstatsLiP_1.13.0.tar.gz
MSstatsLiP_1.13.0.zip(r-4.5)MSstatsLiP_1.13.0.zip(r-4.4)MSstatsLiP_1.13.0.zip(r-4.3)
MSstatsLiP_1.13.0.tgz(r-4.5-x86_64)MSstatsLiP_1.13.0.tgz(r-4.5-arm64)MSstatsLiP_1.13.0.tgz(r-4.4-x86_64)MSstatsLiP_1.13.0.tgz(r-4.4-arm64)MSstatsLiP_1.13.0.tgz(r-4.3-x86_64)MSstatsLiP_1.13.0.tgz(r-4.3-arm64)
MSstatsLiP_1.13.0.tar.gz(r-4.5-noble)MSstatsLiP_1.13.0.tar.gz(r-4.4-noble)
MSstatsLiP_1.13.0.tgz(r-4.4-emscripten)MSstatsLiP_1.13.0.tgz(r-4.3-emscripten)
MSstatsLiP.pdf |MSstatsLiP.html✨
MSstatsLiP/json (API)
# Install 'MSstatsLiP' in R: |
install.packages('MSstatsLiP', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/vitek-lab/msstatslip/issues
- LiPRawData - LiPRawData
- MSstatsLiP_Summarized - MSstatsLiP_Summarized
- MSstatsLiP_data - MSstatsLiP_data
- MSstatsLiP_model - MSstatsLiP_model
- SkylineTest - SkylineTest
- TrPRawData - TrPRawData
- raw_lip - Raw_lip
- raw_prot - Raw_prot
On BioConductor:MSstatsLiP-1.13.0(bioc 3.21)MSstatsLiP-1.12.0(bioc 3.20)
immunooncologymassspectrometryproteomicssoftwaredifferentialexpressiononechanneltwochannelnormalizationqualitycontrolcpp
Last updated 5 months agofrom:256206e81e. Checks:1 OK, 11 ERROR. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 29 2025 |
R-4.5-win-x86_64 | ERROR | Mar 29 2025 |
R-4.5-mac-x86_64 | ERROR | Mar 29 2025 |
R-4.5-mac-aarch64 | ERROR | Mar 29 2025 |
R-4.5-linux-x86_64 | ERROR | Mar 29 2025 |
R-4.4-win-x86_64 | ERROR | Mar 29 2025 |
R-4.4-mac-x86_64 | ERROR | Mar 29 2025 |
R-4.4-mac-aarch64 | ERROR | Mar 29 2025 |
R-4.4-linux-x86_64 | ERROR | Mar 29 2025 |
R-4.3-win-x86_64 | ERROR | Mar 29 2025 |
R-4.3-mac-x86_64 | ERROR | Mar 29 2025 |
R-4.3-mac-aarch64 | ERROR | Mar 29 2025 |
Exports:annotSitecalculateProteolyticResistancecalculateTrypticitycorrelationPlotLiPdataProcessPlotsLiPdataSummarizationLiPDIANNtoMSstatsLiPFormatgroupComparisonLiPgroupComparisonPlotsLiPlocateModlocatePTMPCAPlotLiPResistanceBarcodePlotLiPSkylinetoMSstatsLiPFormatSpectronauttoMSstatsLiPFormatStructuralBarcodePlotLiPtidyFastatrypticHistogramLiP
Dependencies:abindaskpassbackportsbase64encBiocGenericsBiostringsbitbit64bitopsblobbootbroombslibcachemcallrcarcarDatacaToolscellrangercheckmateclicliprclustercolorspaceconflictedcorrplotcowplotcpp11crayoncrosstalkcurldata.tableDBIdbplyrdendextendDerivdigestdoBydplyrDTdtplyrellipseemmeansestimabilityevaluatefactoextraFactoMineRfansifarverfastmapflashClustfontawesomeforcatsFormulafsgarglegenericsGenomeInfoDbGenomeInfoDbDataggplot2ggpubrggrepelggsciggsignifgluegoogledrivegooglesheets4gplotsgridExtragtablegtoolshavenhighrhmshtmltoolshtmlwidgetshttpuvhttridsIRangesisobandjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelazyevalleapslifecyclelimmalme4lmerTestlog4rlubridatemagrittrmarrayMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrMSstatsMSstatsConvertMSstatsPTMMSstatsTMTmultcompViewmunsellmvtnormnlmenloptrnnetnumDerivopensslpbkrtestpillarpkgconfigplotlyplyrpolynompreprocessCoreprettyunitsprocessxprogresspromisespspurrrquantregR6raggrappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreadrreadxlreformulasrematchrematch2reprexreshape2rlangrmarkdownrstatixrstudioapirvestS4Vectorssassscalesscatterplot3dselectrSparseMstatmodstringistringrsurvivalsyssystemfontstextshapingtibbletidyrtidyselecttidyversetimechangetinytextzdbUCSC.utilsutf8uuidvctrsviridisviridisLitevroomwithrxfunxml2XVectoryaml
Proteolytic resistance analysis
Rendered fromProteolytic_resistance_notebook.Rmd
usingknitr::rmarkdown
on Mar 29 2025.Last update: 2022-09-27
Started: 2022-04-18
MSstatsLiP Workflow: An example workflow and analysis of the MSstatsLiP package
Rendered fromMSstatsLiP_Workflow.Rmd
usingknitr::rmarkdown
on Mar 29 2025.Last update: 2022-09-27
Started: 2021-03-11