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Bioconductor - CellBarcode

CellBarcode

This is the released version of CellBarcode; for the devel version, see CellBarcode.

Cellular DNA Barcode Analysis toolkit

Bioconductor version: Release (3.21)

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] ORCID: 0000-0002-3100-2346 , Anne-Marie Lyne [aut], Leila Perie [aut]

Maintainer: Wenjie Sun <sunwjie at gmail.com>

Citation (from within R, enter citation("CellBarcode")): Installation

To install this package, start R (version "4.5") 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")
Details biocViews CRISPR, Preprocessing, QualityControl, Sequencing, Software Version 1.14.0 In Bioconductor since BioC 3.14 (R-4.1) (3.5 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 Package Archives

Follow Installation instructions to use this package in your R session.


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