- recipe bioconductor-sarks
Suffix Array Kernel Smoothing for discovery of correlative sequence motifs and multi-motif domains
- Homepage:
- License:
BSD_3_clause + file LICENSE
- Recipe:
Suffix Array Kernel Smoothing (see https://academic.oup.com/bioinformatics/article-abstract/35/20/3944/5418797), or SArKS, identifies sequence motifs whose presence correlates with numeric scores (such as differential expression statistics) assigned to the sequences (such as gene promoters). SArKS smooths over sequence similarity, quantified by location within a suffix array based on the full set of input sequences. A second round of smoothing over spatial proximity within sequences reveals multi-motif domains. Discovered motifs can then be merged or extended based on adjacency within MMDs. False positive rates are estimated and controlled by permutation testing.
- package bioconductor-sarks¶
- versions:
1.18.0-0
,1.14.0-0
,1.12.0-0
,1.10.0-0
,1.6.0-0
,1.4.0-0
,1.2.0-1
,1.2.0-0
- depends bioconductor-biostrings:
>=2.74.0,<2.75.0
- depends bioconductor-iranges:
>=2.40.0,<2.41.0
- depends openjdk:
- depends r-base:
>=4.4,<4.5.0a0
- depends r-binom:
- depends r-cluster:
- depends r-rjava:
- requirements:
- additional platforms:
Installation
You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).
While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.
Given that you already have a conda environment in which you want to have this package, install with:
mamba install bioconductor-sarks and update with:: mamba update bioconductor-sarks
To create a new environment, run:
mamba create --name myenvname bioconductor-sarks
with
myenvname
being a reasonable name for the environment (see e.g. the mamba docs for details and further options).Alternatively, use the docker container:
docker pull quay.io/biocontainers/bioconductor-sarks:<tag> (see `bioconductor-sarks/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
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