recipe bioconductor-biocneighbors

Nearest Neighbor Detection for Bioconductor Packages

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/BiocNeighbors.html

License:

GPL-3-only

Recipe:

/bioconductor-biocneighbors/meta.yaml

Links:

biotools: biocneighbors, usegalaxy-eu: biocneighbors

Implements exact and approximate methods for nearest neighbor detection, in a framework that allows them to be easily switched within Bioconductor packages or workflows. Exact searches can be performed using the k-means for k-nearest neighbors algorithm or with vantage point trees. Approximate searches can be performed using the Annoy or HNSW libraries. Searching on either Euclidean or Manhattan distances is supported. Parallelization is achieved for all methods by using BiocParallel. Functions are also provided to search for all neighbors within a given distance.

package bioconductor-biocneighbors

versions:

1.20.0-1,  1.20.0-0,  1.18.0-0,  1.16.0-1,  1.16.0-0,  1.12.0-2,  1.12.0-1,  1.12.0-0,  1.10.0-0, 

1.20.0-1,  1.20.0-0,  1.18.0-0,  1.16.0-1,  1.16.0-0,  1.12.0-2,  1.12.0-1,  1.12.0-0,  1.10.0-0,  1.8.2-0,  1.8.0-0,  1.6.0-0,  1.4.0-0,  1.2.0-1,  1.0.0-0

depends bioconductor-biocparallel:

>=1.36.0,<1.37.0

depends bioconductor-biocparallel:

>=1.36.0,<1.37.0a0

depends bioconductor-s4vectors:

>=0.40.0,<0.41.0

depends bioconductor-s4vectors:

>=0.40.2,<0.41.0a0

depends libblas:

>=3.9.0,<4.0a0

depends libgcc-ng:

>=12

depends liblapack:

>=3.9.0,<4.0a0

depends libstdcxx-ng:

>=12

depends r-base:

>=4.3,<4.4.0a0

depends r-matrix:

depends r-rcpp:

depends r-rcpphnsw:

requirements:

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-biocneighbors

and update with::

   mamba update bioconductor-biocneighbors

To create a new environment, run:

mamba create --name myenvname bioconductor-biocneighbors

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-biocneighbors:<tag>

(see `bioconductor-biocneighbors/tags`_ for valid values for ``<tag>``)

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