recipe bioconductor-xtrasnplocs.hsapiens.dbsnp144.grch37

Extra SNP locations for Homo sapiens (dbSNP Build 144)






Extra SNP locations and alleles for Homo sapiens extracted from NCBI dbSNP Build 144. The source data files used for this package were created by NCBI on May 29-30, 2015, and contain SNPs mapped to reference genome GRCh37.p13 (a patched version of GRCh37 that doesn't alter chromosomes 1-22, X, Y, MT). While the SNPlocs.Hsapiens.dbSNP144.GRCh37 package contains only molecular variations of class "snp", this package contains molecular variations of other classes (in-del, heterozygous, microsatellite, named-locus, no-variation, mixed, and multinucleotide-polymorphism).

package bioconductor-xtrasnplocs.hsapiens.dbsnp144.grch37

(downloads) docker_bioconductor-xtrasnplocs.hsapiens.dbsnp144.grch37



depends bioconductor-biocgenerics:


depends bioconductor-bsgenome:


depends bioconductor-data-packages:


depends bioconductor-genomeinfodb:


depends bioconductor-genomicranges:


depends bioconductor-iranges:


depends bioconductor-s4vectors:


depends curl:

depends r-base:




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-xtrasnplocs.hsapiens.dbsnp144.grch37

and update with::

   mamba update bioconductor-xtrasnplocs.hsapiens.dbsnp144.grch37

To create a new environment, run:

mamba create --name myenvname bioconductor-xtrasnplocs.hsapiens.dbsnp144.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<tag>

(see `bioconductor-xtrasnplocs.hsapiens.dbsnp144.grch37/tags`_ for valid values for ``<tag>``)

Download stats