This is the development version of amplican; for the stable release version, see amplican.
Automated analysis of CRISPR experimentsBioconductor version: Development (3.22)
`amplican` performs alignment of the amplicon reads, normalizes gathered data, calculates multiple statistics (e.g. cut rates, frameshifts) and presents results in form of aggregated reports. Data and statistics can be broken down by experiments, barcodes, user defined groups, guides and amplicons allowing for quick identification of potential problems.
Author: Kornel Labun [aut], Eivind Valen [cph, cre]
Maintainer: Eivind Valen <eivind.valen at gmail.com>
Citation (from within R, entercitation("amplican")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("amplican")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("amplican")
Details biocViews Alignment, CRISPR, ImmunoOncology, Software, Technology, qPCR Version 1.31.2 In Bioconductor since BioC 3.6 (R-3.4) (7.5 years) License GPL-3 Depends R (>= 3.5.0), methods, BiocGenerics(>= 0.22.0), Biostrings(>= 2.44.2), pwalign Imports Rcpp, utils (>= 3.4.1), S4Vectors(>= 0.14.3), ShortRead(>= 1.34.0), IRanges(>= 2.10.2), GenomicRanges(>= 1.61.1), Seqinfo, BiocParallel(>= 1.10.1), gtable (>= 0.2.0), gridExtra (>= 2.2.1), ggplot2 (>= 3.3.4), ggthemes (>= 3.4.0), waffle (>= 0.7.0), stringr (>= 1.2.0), stats (>= 3.4.1), matrixStats (>= 0.52.2), Matrix (>= 1.2-10), dplyr (>= 0.7.2), data.table (>= 1.10.4-3), rmarkdown (>= 1.6), knitr (>= 1.16), cluster (>= 2.1.4) System Requirements URL https://github.com/valenlab/amplican Bug Reports https://github.com/valenlab/amplican/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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