recipe bioconductor-ngscopydata

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).

Homepage

https://bioconductor.org/packages/3.9/data/experiment/html/NGScopyData.html

License

GPL (>=2)

Recipe

/bioconductor-ngscopydata/meta.yaml

package bioconductor-ngscopydata

(downloads) docker_bioconductor-ngscopydata

Versions

1.4.0-0, 1.2.0-0

Depends
Required By

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-ngscopydata

and update with:

conda update bioconductor-ngscopydata

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-ngscopydata:<tag>

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