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CellBarcode

Cellular DNA Barcode Analysis toolkit

Bioconductor version: 3.23 · Package version: 1.18.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("CellBarcode")

Details

MaintainerWenjie Sun <sunwjie@gmail.com>
AuthorWenjie Sun [cre, aut] (ORCID: <https://orcid.org/0000-0002-3100-2346>), Anne-Marie Lyne [aut], Leila Perie [aut]
LicenseArtistic-2.0
URLhttps://wenjie1991.github.io/CellBarcode/
Bug Reportshttps://github.com/wenjie1991/CellBarcode/issues
Downloads rank288
Source branchRELEASE_3_23
biocViewsCRISPR, Preprocessing, QualityControl, Sequencing, Software

Documentation

Download

Dependencies

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

LinkingTo: Rcpp, BH

Suggests: BiocStyle, testthat (>= 3.0.0), knitr, rmarkdown