- recipe bioconductor-g4snvhunter
Evaluating SNV-Induced Disruption of G-Quadruplex Structures
- Homepage:
https://bioconductor.org/packages/3.22/bioc/html/G4SNVHunter.html
- License:
MIT + file LICENSE
- Recipe:
G-quadruplexes (G4s) are unique nucleic acid secondary structures predominantly found in guanine-rich regions and have been shown to be involved in various biological regulatory processes. G4SNVHunter is an R package designed to rapidly identify genomic sequences with G4-forming propensity and to accurately screen user-provided single nucleotide variants—as well as other small-scale variants such as indels and MNVs—for their potential to destabilize these structures. This allows researchers to then screen these critical variants for deeper study, digging into how they might influence biological functions—think gene regulation, for instance—by impairing G4 formation propensity.
- package bioconductor-g4snvhunter¶
-
- Versions:
1.2.0-0- Depends:
on bioconductor-biostrings
>=2.78.0,<2.79.0on bioconductor-biostrings
>=2.78.0,<2.79.0a0on bioconductor-genomicranges
>=1.62.0,<1.63.0on bioconductor-genomicranges
>=1.62.1,<1.63.0a0on bioconductor-iranges
>=2.44.0,<2.45.0on bioconductor-iranges
>=2.44.0,<2.45.0a0on bioconductor-s4vectors
>=0.48.0,<0.49.0on bioconductor-s4vectors
>=0.48.0,<0.49.0a0on bioconductor-seqinfo
>=1.0.0,<1.1.0on bioconductor-seqinfo
>=1.0.0,<1.1.0a0on bioconductor-summarizedexperiment
>=1.40.0,<1.41.0on bioconductor-summarizedexperiment
>=1.40.0,<1.41.0a0on bioconductor-variantannotation
>=1.56.0,<1.57.0on bioconductor-variantannotation
>=1.56.0,<1.57.0a0on libblas
>=3.9.0,<4.0a0on libgcc
>=14on liblapack
>=3.9.0,<4.0a0on liblzma
>=5.8.2,<6.0a0on libstdcxx
>=14on libzlib
>=1.3.1,<2.0a0on r-base
>=4.5,<4.6.0a0on r-cowplot
on r-data.table
on r-dplyr
on r-ggdensity
on r-ggplot2
on r-ggpointdensity
on r-ggseqlogo
on r-magrittr
on r-openxlsx
on r-progress
on r-rcpp
on r-rcpproll
on r-tidyr
on r-viridis
- Additional platforms:
Installation¶
You need a conda-compatible package manager (currently either pixi, conda, or micromamba) and the Bioconda channel already activated (see Usage). Below, we show how to install with either pixi or conda (for micromamba and mamba, commands are essentially the same as with conda).
Pixi¶
With pixi installed and the Bioconda channel set up (see Usage), to install globally, run:
pixi global install bioconductor-g4snvhunter
to add into an existing workspace instead, run:
pixi add bioconductor-g4snvhunter
In the latter case, make sure to first add bioconda and conda-forge to the channels considered by the workspace:
pixi workspace channel add conda-forge
pixi workspace channel add bioconda
Conda¶
With conda installed and the Bioconda channel set up (see Usage), to install into an existing and activated environment, run:
conda install bioconductor-g4snvhunter
Alternatively, to install into a new environment, run:
conda create -n envname bioconductor-g4snvhunter
with envname being the name of the desired environment.
Container¶
Alternatively, every Bioconda package is available as a container image for usage with your preferred container runtime. For e.g. docker, run:
docker pull quay.io/biocontainers/bioconductor-g4snvhunter:<tag>
(see bioconductor-g4snvhunter/tags for valid values for <tag>).
Integrated deployment¶
Finally, note that many scientific workflow management systems directly integrate both conda and container based software deployment. Thus, workflow steps can be often directly annotated to use the package, leading to automatic deployment by the respective workflow management system, thereby improving reproducibility and transparency. Check the documentation of your workflow management system to find out about the integration.
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-g4snvhunter/README.html)