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SmartPhos

This is thereleased version of SmartPhos; for the devel version, seeSmartPhos.

A phosphoproteomics data analysis package with an interactive ShinyApp

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DOI: 10.18129/B9.bioc.SmartPhos


Bioconductor version: Release (3.22)

To facilitate and streamline phosphoproteomics data analysis, we developed SmartPhos, an R package for the pre-processing, quality control, and exploratory analysis of phosphoproteomics data generated by MaxQuant and Spectronaut. The package can be used either through the R command line or through an interactive ShinyApp called SmartPhos Explorer. The package contains methods such as normalization and normalization correction, transformation, imputation, batch effect correction, PCA, heatmap, differential expression, time-series clustering, gene set enrichment analysis, and kinase activity inference.

Author: Shubham Agrawal [aut, cre]ORCID iD ORCID: 0009-0005-2630-9342, Junyan Lu [aut]ORCID iD ORCID: 0000-0002-9211-0746

Maintainer: Shubham Agrawal <shubhamagrawal2706 at gmail.com>

Citation (from within R, entercitation("SmartPhos")):

Installation

To install this package, start R (version "4.5") and enter:

if (!require("BiocManager", quietly = TRUE))    install.packages("BiocManager")BiocManager::install("SmartPhos")

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("SmartPhos")
Introduction to Shiny AppHTMLR Script
Introduction to SmartPhosHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsBatchEffect,Clustering,DifferentialExpression,GUI,GeneExpression,GeneSetEnrichment,MassSpectrometry,Normalization,Preprocessing,Proteomics,QualityControl,ShinyApps,Software,Visualization
Version1.0.0
In Bioconductor sinceBioC 3.22 (R-4.5) (< 6 months)
LicenseGPL-3
DependsR (>= 4.4.0)
ImportsMultiAssayExperiment,SummarizedExperiment,data.table,shiny,shinythemes,shinyjs,shinyBS,shinyWidgets, parallel,DT, tools, stats,ggplot2,plotly,ggbeeswarm,pheatmap, grid,XML,MsCoreUtils,imputeLCMD,missForest,limma,proDA,decoupleR,piano,BiocParallel,doParallel,doRNG,e1071,magrittr,matrixStats,rlang,stringr,tibble,dplyr,tidyr,Biobase,vsn,factoextra,cowplot
System Requirements
URLhttps://lu-group-ukhd.github.io/SmartPhos/
Bug Reportshttps://github.com/Bioconductor/SmartPhos/issues
See More
Suggestsknitr,BiocStyle,PhosR,testthat
Linking To
Enhances
Depends On Me
Imports Me
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Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackageSmartPhos_1.0.0.tar.gz
Windows Binary (x86_64) SmartPhos_1.0.0.zip
macOS Binary (x86_64)SmartPhos_1.0.0.tgz
macOS Binary (arm64)SmartPhos_1.0.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/SmartPhos
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/SmartPhos
Bioc Package Browserhttps://code.bioconductor.org/browse/SmartPhos/
Package Short Urlhttps://bioconductor.org/packages/SmartPhos/
Package Downloads ReportDownload Stats

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