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crispRdesignR
View on CRAN: Click
here
Download and install crispRdesignR package within the R console
Install from CRAN:
install.packages("crispRdesignR")
Install from Github:
library("remotes")
install_github("cran/crispRdesignR")
Install by package version:
library("remotes")
install_version("crispRdesignR", "1.1.7")
Attach the package and use:
library("crispRdesignR")
Maintained by
Dylan Beeber
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-05-26
Latest Update: 2023-04-12
Description:
Designs guide sequences for CRISPR/Cas9 genome editing and
provides information on sequence features pertinent to guide
efficiency. Sequence features include annotated off-target
predictions in a user-selected genome and a predicted efficiency
score based on the model described in Doench et al. (2016)
. Users are able to import additional genomes
and genome annotation files to use when searching and annotating
off-target hits. All guide sequences and off-target data can be
generated through the 'R' console with sgRNA_Design() or through
'crispRdesignR's' user interface with crispRdesignRUI(). CRISPR
(Clustered Regularly Interspaced Short Palindromic Repeats) and the
associated protein Cas9 refer to a technique used in genome editing.
How to cite:
Dylan Beeber (2020). crispRdesignR: Guide Sequence Design for CRISPR/Cas9. R package version 1.1.7, https://cran.r-project.org/web/packages/crispRdesignR
Other packages that cited crispRdesignR R package
View crispRdesignR citation profile
Other R packages that crispRdesignR depends,
imports, suggests or enhances
Functions, R codes and Examples using
the crispRdesignR R package
Some associated functions: Doench_2016_Processing . FindsgRNAfunction . crispRdesignRUI . getofftargetdata . getsgRNAdata . sgRNA_design .
Some associated R codes: Doench_2016_Processing.R . FindsgRNAfunction.R . crispRdesignRUI.R . getofftargetdata.R . getsgRNAdata.R . sgRNA_design.R . Full crispRdesignR package functions and examples
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