recipe bioconductor-snplocs.hsapiens.dbsnp155.grch37

Human SNP locations and alleles extracted from dbSNP Build 155 and placed on the GRCh37/hg19 assembly

Homepage:

https://bioconductor.org/packages/3.18/data/annotation/html/SNPlocs.Hsapiens.dbSNP155.GRCh37.html

License:

Artistic-2.0

Recipe:

/bioconductor-snplocs.hsapiens.dbsnp155.grch37/meta.yaml

The 929,496,192 SNPs in this package were extracted from the RefSNP JSON files for chromosomes 1-22, X, Y, and MT, located at https://ftp.ncbi.nih.gov/snp/archive/b155/JSON/ (these files were created by NCBI in May 2021). These SNPs can be "injected" in BSgenome.Hsapiens.UCSC.hg19.

package bioconductor-snplocs.hsapiens.dbsnp155.grch37

(downloads) docker_bioconductor-snplocs.hsapiens.dbsnp155.grch37

versions:

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-snplocs.hsapiens.dbsnp155.grch37

and update with::

   mamba update bioconductor-snplocs.hsapiens.dbsnp155.grch37

To create a new environment, run:

mamba create --name myenvname bioconductor-snplocs.hsapiens.dbsnp155.grch37

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-snplocs.hsapiens.dbsnp155.grch37:<tag>

(see `bioconductor-snplocs.hsapiens.dbsnp155.grch37/tags`_ for valid values for ``<tag>``)

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