CellBarcode
This is the released version of CellBarcode; for the devel version, see CellBarcode.
Cellular DNA Barcode Analysis toolkit
Bioconductor version: Release (3.23)
The package CellBarcode performs Cellular DNA Barcode analysis. It can handle all kinds of DNA barcodes, as long as the barcode is within a single sequencing read and has a pattern that can be matched by a regular expression. \code{CellBarcode} can handle barcodes with flexible lengths, with or without UMI (unique molecular identifier). This tool also can be used for pre-processing some amplicon data such as CRISPR gRNA screening, immune repertoire sequencing, and metagenome data.
Author: Wenjie Sun [cre, aut] 
, Anne-Marie Lyne [aut], Leila Perie [aut]
Maintainer: Wenjie Sun <sunwjie at gmail.com>
citation("CellBarcode")):Wenjie Sun, Anne-Marie Lyne, Leila Perie. CellBarcode: Cellular DNA Barcode Analysis toolkit. doi:10.18129/B9.bioc.CellBarcode, R package version 1.18.0, https://bioconductor.org/packages/CellBarcode.
Generated from the package metadata; it may differ from the package's own citation.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("CellBarcode")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("CellBarcode")| 10X_Barcode | HTML | R Script |
| UMI_Barcode | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | CRISPR, Preprocessing, QualityControl, Sequencing, Software |
| Version | 1.18.0 |
| In Bioconductor since | BioC 3.14 (R-4.1) (5 years) |
| License | Artistic-2.0 |
| Depends | R (>= 4.1.0) |
| Imports | methods, stats, Rcpp (>= 1.0.5), data.table (>= 1.12.6), plyr, ggplot2, stringr, magrittr, ShortRead (>= 1.48.0), Biostrings (>= 2.58.0), egg, Ckmeans.1d.dp, utils, S4Vectors, seqinr, Rsamtools |
| System Requirements | |
| URL | https://wenjie1991.github.io/CellBarcode/ |
| Bug Reports | https://github.com/wenjie1991/CellBarcode/issues |
See More
| Suggests | BiocStyle, testthat (>= 3.0.0), knitr, rmarkdown |
| Linking To | Rcpp, BH |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report, r-universe |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | CellBarcode_1.18.0.tar.gz |
| Windows Binary (x86_64) | CellBarcode_1.18.0.zip (64-bit only) |
| macOS Binary (big-sur-x86_64) | CellBarcode_1.18.0.tgz |
| macOS Binary (sonoma-arm64) | CellBarcode_1.18.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/CellBarcode |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/CellBarcode |
| Package Short Url | https://bioconductor.org/packages/CellBarcode/ |
| Package Downloads Report | Download Stats |