Bioconductor version: Release (3.16)
InterCellar is implemented as an R/Bioconductor Package containing a Shiny app that allows users to interactively analyze cell-cell communication from scRNA-seq data. Starting from precomputed ligand-receptor interactions, InterCellar provides filtering options, annotations and multiple visualizations to explore clusters, genes and functions. Finally, based on functional annotation from Gene Ontology and pathway databases, InterCellar implements data-driven analyses to investigate cell-cell communication in one or multiple conditions.
Author: Marta Interlandi [cre, aut]
Maintainer: Marta Interlandi <marta.interlandi01 at gmail.com>
Citation (from within R,
enter citation("InterCellar")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("InterCellar")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("InterCellar")
HTML | R Script | InterCellar User Guide |
Reference Manual | ||
Text | NEWS | |
Text | LICENSE |
biocViews | GO, SingleCell, Software, Transcriptomics, Visualization |
Version | 2.4.0 |
In Bioconductor since | BioC 3.13 (R-4.1) (2 years) |
License | MIT + file LICENSE |
Depends | R (>= 4.1) |
Imports | config, golem, shiny, DT, shinydashboard, shinyFiles, shinycssloaders, data.table, fs, dplyr, tidyr, circlize, colourpicker, dendextend, factoextra, ggplot2, plotly, plyr, shinyFeedback, shinyalert, tibble, umap, visNetwork, wordcloud2, readxl, htmlwidgets, colorspace, signal, scales, htmltools, ComplexHeatmap, grDevices, stats, tools, utils, biomaRt, rlang, fmsb, igraph |
LinkingTo | |
Suggests | testthat (>= 3.0.0), knitr, rmarkdown, glue, graphite, processx, attempt, BiocStyle, httr |
SystemRequirements | |
Enhances | |
URL | https://github.com/martaint/InterCellar |
BugReports | https://github.com/martaint/InterCellar/issues |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | InterCellar_2.4.0.tar.gz |
Windows Binary | InterCellar_2.4.0.zip |
macOS Binary (x86_64) | InterCellar_2.4.0.tgz |
macOS Binary (arm64) | InterCellar_2.4.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/InterCellar |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/InterCellar |
Bioc Package Browser | https://code.bioconductor.org/browse/InterCellar/ |
Package Short Url | https://bioconductor.org/packages/InterCellar/ |
Package Downloads Report | Download Stats |
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