XINA
This is the released version of XINA; for the devel version, see XINA.
Multiplexes Isobaric Mass Tagged-based Kinetics Data for Network Analysis
Bioconductor version: Release (3.20)
The aim of XINA is to determine which proteins exhibit similar patterns within and across experimental conditions, since proteins with co-abundance patterns may have common molecular functions. XINA imports multiple datasets, tags dataset in silico, and combines the data for subsequent subgrouping into multiple clusters. The result is a single output depicting the variation across all conditions. XINA, not only extracts coabundance profiles within and across experiments, but also incorporates protein-protein interaction databases and integrative resources such as KEGG to infer interactors and molecular functions, respectively, and produces intuitive graphical outputs.
Author: Lang Ho Lee <lhlee at bwh.harvard.edu> and Sasha A. Singh <sasingh at bwh.harvard.edu>
Maintainer: Lang Ho Lee <lhlee at bwh.harvard.edu> and Sasha A. Singh <sasingh at bwh.harvard.edu>
citation("XINA")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("XINA")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("XINA")
xina_user_code | HTML | R Script |
Reference Manual | ||
NEWS | Text |
Details
biocViews | Network, Proteomics, RNASeq, Software, SystemsBiology |
Version | 1.24.0 |
In Bioconductor since | BioC 3.8 (R-3.5) (6 years) |
License | GPL-3 |
Depends | R (>= 3.5) |
Imports | mclust, plyr, alluvial, ggplot2, igraph, gridExtra, tools, grDevices, graphics, utils, STRINGdb |
System Requirements | |
URL |
See More
Suggests | knitr, rmarkdown |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | XINA_1.24.0.tar.gz |
Windows Binary (x86_64) | XINA_1.24.0.zip |
macOS Binary (x86_64) | XINA_1.24.0.tgz |
macOS Binary (arm64) | XINA_1.24.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/XINA |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/XINA |
Bioc Package Browser | https://code.bioconductor.org/browse/XINA/ |
Package Short Url | https://bioconductor.org/packages/XINA/ |
Package Downloads Report | Download Stats |