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
| Maintainer | Wenjie Sun <sunwjie@gmail.com> |
| Author | Wenjie Sun [cre, aut] (ORCID: <https://orcid.org/0000-0002-3100-2346>), Anne-Marie Lyne [aut], Leila Perie [aut] |
| License | Artistic-2.0 |
| URL | https://wenjie1991.github.io/CellBarcode/ |
| Bug Reports | https://github.com/wenjie1991/CellBarcode/issues |
| Downloads rank | 288 |
| Source branch | RELEASE_3_23 |
| biocViews | CRISPR, 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
Suggests: BiocStyle, testthat (>= 3.0.0), knitr, rmarkdown