recipe blockclust

Efficient clustering and classification of non-coding RNAs from short read RNA-seq profiles.

Homepage:

https://github.com/pavanvidem/blockclust

License:

GPL2 / GPL-2.0-or-later

Recipe:

/blockclust/meta.yaml

Links:

doi: 10.1093/bioinformatics/btu270

package blockclust

(downloads) docker_blockclust

versions:
1.1.1-21.1.1-11.1.1-01.1.0-91.1.0-81.1.0-71.1.0-61.1.0-51.1.0-4

1.1.1-21.1.1-11.1.1-01.1.0-91.1.0-81.1.0-71.1.0-61.1.0-51.1.0-41.1.0-31.1.0-21.1.0-11.1.0-0

depends cloudpickle:

0.5.6.*

depends eden:

1.1.*

depends libgcc:

>=13

depends libstdcxx:

>=13

depends mcl:

>=14.137

depends pysam:

>=0.15.0

depends python:

>=3.10,<3.11.0a0

depends python_abi:

3.10.* *_cp310

depends r-base:

>=4.4,<4.5.0a0

depends r-dendextend:

>=1.8.0

depends scikit-learn:

>=0.20.0

depends wget:

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 blockclust

and update with::

   mamba update blockclust

To create a new environment, run:

mamba create --name myenvname blockclust

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/blockclust:<tag>

(see `blockclust/tags`_ for valid values for ``<tag>``)

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