CRISPRseek
Bioc currentDesign of guide RNAs in CRISPR genome-editing systems
Release Lineage
Entered 2.14 · Apr 14, 2014
Current · Requires R 4.6
Description
The package encompasses functions to find potential guide RNAs for the CRISPR-based genome-editing systems including the Base Editors and the Prime Editors when supplied with target sequences as input. Users have the flexibility to filter resulting guide RNAs based on parameters such as the absence of restriction enzyme cut sites or the lack of paired guide RNAs. The package also facilitates genome-wide exploration for off-targets, offering features to score and rank off-targets, retrieve flanking sequences, and indicate whether the hits are located within exon regions. All detected guide RNAs are annotated with the cumulative scores of the top5 and topN off-targets together with the detailed information such as mismatch sites and restrictuion enzyme cut sites. The package also outputs INDELs and their frequencies for Cas9 targeted sites.
None published for Bioconductor
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
81 23 exported
Complexity
8.6 avg / 75 max
Call network
81 nodes / 90 edges
Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
Code
Structure
Lines of code
12,346
Files
255
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
27
Internal functions
56
Recent export changes
Testing
Has tests
Yes
Test-to-code ratio
0.10
testthat edition
–
Docs
Roxygen coverage
100%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
0%
Unsafe pattern score
10
Dep constraint coverage
4%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
3.5.0
System requirements
–
C++ standard
–
License
file LICENSE
License flags
SPDX valid, not OSI
History
Versions
25
First release
2014-07-22
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
100%
Dep drift
26
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Help pages
- 29 (1 internal)includes a package overview page
- Examples that run
- 100%20 run in a plain check (2 of them under a condition)
- Exported functions with examples
- 74%
- Documented parameters
- 97%
- Return-value docs
- 70%
- Help pages citing references
- 38%
Repository practices
Checks read the Bioconductor git repository (git.bioconductor.org), branch RELEASE_3_23.
2 practices detected in the Bioconductor git repository
Datasets
| Name | Class | Size | Also in |
|---|---|---|---|
| CRISPRscanEff | data.frame | 5 × 6 | No other package |
| Cpf1Eff | data.frame | 20 × 6 | No other package |
| DoenchNBT2014 | data.frame | 73 × 2 | No other package |
| Morenos-Mateo | data.frame | 92 × 2 | No other package |
| NatureBiot2016SuppTable19DoenchRoot | data.frame | 320 × 7 | No other package |
| all.gRNAs.df | matrix | 20 × 5 | No other package |
| alns | data.frame | 2 × 21 | 2 packages |
| featureVecorsWithNinPAM | data.frame | 2 × 36 | No other package |
| gRNAsCpf1 | – | – | – |
| gRNAsSpCas9 | – | – | – |
| hits | data.frame | 4 × 30 | No other package |
| input_example | – | – | – |
| input_example2 | – | – | – |
| kerasInstallation | – | – | – |
| output_example | data.frame | 2 × 6 | No other package |
| output_example2 | – | – | – |
| results | list | 5 elements | No other package |
| runUnitTestOneByOne | data.frame | 28 × 1 | No other package |
| seqs2 | data.frame | 13 × 14 | No other package |
| seqs2.5prime | data.frame | 2 × 14 | No other package |
| seqs2CFD | data.frame | 13 × 14 | No other package |
| testSeqForDeepCpf1 | vector | 100 elements | No other package |
Topics
Depended on by (3)
Bioconductor (3)
People (from the free-text Author field)
Cite
Cite this package
Run in R for the authors' entry:
citation("CRISPRseek")The package provides a citation file, so citation() returns the authors' own entry.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.