scImmuneGraph: Visualize the Basic Characteristics of Single-Cell Immune Repertoire

Statistics and visualization of the distribution, diversity and composition of clonotypes, the abundance and length distribution of CDR3, the respective abundance distribution of V and J genes, and the abundance of V-J gene pairs are the basic requirements for single-cell immune group analysis. 'scImmuneGraph' is designed to process data from 10x Genomics Chromium Immune Profiling for T cell receptor (TCR) and immunoglobulin (Ig) enrichment workflows.

Version: 1.1.3
Depends: R (≥ 4.0)
Imports: RColorBrewer, scales, ggplot2, cowplot, tibble, stringr, tidyverse, readr, tidyr, dplyr, purrr, gtools, plyr, forcats, easypackages, BiocStyle
Suggests: rmarkdown, knitr, testthat (≥ 3.0.0)
Published: 2021-12-10
Author: Fenfei Zhao
Maintainer: Fenfei Zhao <fenfeizhao2020 at 163.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/zff-excellent/scImmuneGraph
NeedsCompilation: no
CRAN checks: scImmuneGraph results

Documentation:

Reference manual: scImmuneGraph.pdf
Vignettes: Using scImmuneGraph

Downloads:

Package source: scImmuneGraph_1.1.3.tar.gz
Windows binaries: r-devel: scImmuneGraph_1.1.3.zip, r-release: scImmuneGraph_1.1.3.zip, r-oldrel: scImmuneGraph_1.1.3.zip
macOS binaries: r-release (arm64): scImmuneGraph_1.1.3.tgz, r-release (x86_64): scImmuneGraph_1.1.3.tgz, r-oldrel: scImmuneGraph_1.1.3.tgz

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