scRepertoire
A toolkit for single-cell immune receptor profiling
Bioconductor version: Release (3.19)
scRepertoire is a toolkit for processing and analyzing single-cell T-cell receptor (TCR) and immunoglobulin (Ig). The scRepertoire framework supports use of 10x, AIRR, BD, MiXCR, Omniscope, TRUST4, and WAT3R single-cell formats. The functionality includes basic clonal analyses, repertoire summaries, distance-based clustering and interaction with the popular Seurat and SingleCellExperiment/Bioconductor R workflows.
Author: Nick Borcherding [aut, cre], Qile Yang [aut], Ksenia Safina [aut]
Maintainer: Nick Borcherding <ncborch at gmail.com>
citation("scRepertoire")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("scRepertoire")
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("scRepertoire")
Using scRepertoire | HTML | R Script |
Reference Manual | ||
NEWS | Text | |
LICENSE | Text |
Details
biocViews | Annotation, Classification, ImmunoOncology, Sequencing, SingleCell, Software |
Version | 2.0.0 |
In Bioconductor since | BioC 3.12 (R-4.0) (4 years) |
License | MIT + file LICENSE |
Depends | ggplot2, R (>= 4.0) |
Imports | cubature, dplyr, evmix, ggalluvial, ggdendro, ggraph, grDevices, igraph, iNEXT, methods, plyr, quantreg, Rcpp, reshape2, rjson, rlang, S4Vectors, SeuratObject, SingleCellExperiment, stats, stringr, stringdist, SummarizedExperiment, tidygraph, truncdist, utils, VGAM, hash |
System Requirements | |
URL | https://www.borch.dev/uploads/screpertoire/ |
Bug Reports | https://github.com/ncborcherding/scRepertoire/issues |
See More
Suggests | BiocManager, BiocStyle, circlize, knitr, rmarkdown, scales, scater, Seurat, spelling, testthat (>= 3.0.0), vdiffr |
Linking To | Rcpp |
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 | scRepertoire_2.0.0.tar.gz |
Windows Binary | scRepertoire_2.0.0.zip |
macOS Binary (x86_64) | scRepertoire_2.0.0.tgz |
macOS Binary (arm64) | scRepertoire_2.0.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/scRepertoire |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/scRepertoire |
Bioc Package Browser | https://code.bioconductor.org/browse/scRepertoire/ |
Package Short Url | https://bioconductor.org/packages/scRepertoire/ |
Package Downloads Report | Download Stats |