recipe bioconductor-ngscopydata

Subset of BAM files of human tumor and pooled normal sequencing data (Zhao et al. 2014) for the NGScopy package

Homepage:

https://bioconductor.org/packages/3.20/data/experiment/html/NGScopyData.html

License:

GPL (>=2)

Recipe:

/bioconductor-ngscopydata/meta.yaml

Subset of BAM files of human lung tumor and pooled normal samples by targeted panel sequencing. [Zhao et al 2014. Targeted Sequencing in Non-Small Cell Lung Cancer (NSCLC) Using the University of North Carolina (UNC) Sequencing Assay Captures Most Previously Described Genetic Aberrations in NSCLC. In preparation.] Each sample is a 10 percent random subsample drawn from the original sequencing data. The pooled normal sample has been rescaled accroding to the total number of normal samples in the "pool". Here provided is the subsampled data on chr6 (hg19).

package bioconductor-ngscopydata

(downloads) docker_bioconductor-ngscopydata

versions:
1.26.0-0,  1.22.0-0,  1.20.0-0,  1.17.0-0,  1.14.0-1,  1.14.0-0,  1.12.0-0,  1.10.0-1,  1.10.0-0, 

1.26.0-0,  1.22.0-0,  1.20.0-0,  1.17.0-0,  1.14.0-1,  1.14.0-0,  1.12.0-0,  1.10.0-1,  1.10.0-0,  1.9.0-0,  1.8.0-0,  1.6.0-0,  1.4.0-1,  1.4.0-0,  1.2.0-0

depends bioconductor-data-packages:

>=20241103

depends curl:

depends r-base:

>=4.4,<4.5.0a0

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-ngscopydata

and update with::

   mamba update bioconductor-ngscopydata

To create a new environment, run:

mamba create --name myenvname bioconductor-ngscopydata

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-ngscopydata:<tag>

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

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Link to this page

Render an install-with-bioconda badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-ngscopydata/README.html)