recipe bioconductor-nanoporernaseq

Nanopore RNA-Seq Example data

Homepage:

https://bioconductor.org/packages/3.18/data/experiment/html/NanoporeRNASeq.html

License:

GPL-3 + file LICENSE

Recipe:

/bioconductor-nanoporernaseq/meta.yaml

The NanoporeRNASeq package contains long read RNA-Seq data generated using Oxford Nanopore Sequencing. The data consists of 6 samples from two human cell lines (K562 and MCF7) that were generated by the SG-NEx project. Each of these cell lines has three replicates, with 1 direct RNA sequencing data and 2 cDNA sequencing data. Reads are aligned to chromosome 22 (Grch38) and stored as bam files. The original data is from the SG-NEx project.

package bioconductor-nanoporernaseq

(downloads) docker_bioconductor-nanoporernaseq

versions:

1.12.0-01.10.0-01.8.0-01.4.0-11.4.0-01.2.0-01.0.0-11.0.0-0

depends bioconductor-data-packages:

>=20231203

depends bioconductor-experimenthub:

>=2.10.0,<2.11.0

depends curl:

depends r-base:

>=4.3,<4.4.0a0

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-nanoporernaseq

and update with::

   mamba update bioconductor-nanoporernaseq

To create a new environment, run:

mamba create --name myenvname bioconductor-nanoporernaseq

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-nanoporernaseq:<tag>

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

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