recipe bioconductor-hmmcopy

Copy number prediction with correction for GC and mappability bias for HTS data

Homepage:

https://bioconductor.org/packages/3.20/bioc/html/HMMcopy.html

License:

GPL-3

Recipe:

/bioconductor-hmmcopy/meta.yaml

Links:

biotools: hmmcopy, doi: 10.1038/nmeth.3252

Corrects GC and mappability biases for readcounts (i.e. coverage) in non-overlapping windows of fixed length for single whole genome samples, yielding a rough estimate of copy number for furthur analysis. Designed for rapid correction of high coverage whole genome tumour and normal samples.

package bioconductor-hmmcopy

(downloads) docker_bioconductor-hmmcopy

Versions:
1.52.0-0,  1.48.0-1,  1.48.0-0,  1.44.0-2,  1.44.0-1,  1.44.0-0,  1.42.0-0,  1.40.0-2,  1.40.0-1, 

1.52.0-0,  1.48.0-1,  1.48.0-0,  1.44.0-2,  1.44.0-1,  1.44.0-0,  1.42.0-0,  1.40.0-2,  1.40.0-1,  1.40.0-0,  1.36.0-2,  1.36.0-1,  1.36.0-0,  1.34.0-0,  1.32.0-1,  1.32.0-0,  1.30.0-0,  1.28.0-0,  1.26.0-1,  1.24.0-0,  1.22.0-0,  1.20.0-0,  1.18.0-0

Depends:

  • on libblas >=3.9.0,<4.0a0

  • on libgcc >=14

  • on liblapack >=3.9.0,<4.0a0

  • on liblzma >=5.8.2,<6.0a0

  • on libzlib >=1.3.1,<2.0a0

  • on r-base >=4.5,<4.6.0a0

  • on r-data.table >=1.11.8

Additional platforms:
linux-aarch64,  osx-arm64

Installation

You need a conda-compatible package manager (currently either pixi, conda, or micromamba) and the Bioconda channel already activated (see Usage). Below, we show how to install with either pixi or conda (for micromamba and mamba, commands are essentially the same as with conda).

Pixi

With pixi installed and the Bioconda channel set up (see Usage), to install globally, run:

pixi global install bioconductor-hmmcopy

to add into an existing workspace instead, run:

pixi add bioconductor-hmmcopy

In the latter case, make sure to first add bioconda and conda-forge to the channels considered by the workspace:

pixi workspace channel add conda-forge
pixi workspace channel add bioconda

Conda

With conda installed and the Bioconda channel set up (see Usage), to install into an existing and activated environment, run:

conda install bioconductor-hmmcopy

Alternatively, to install into a new environment, run:

conda create -n envname bioconductor-hmmcopy

with envname being the name of the desired environment.

Container

Alternatively, every Bioconda package is available as a container image for usage with your preferred container runtime. For e.g. docker, run:

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

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

Integrated deployment

Finally, note that many scientific workflow management systems directly integrate both conda and container based software deployment. Thus, workflow steps can be often directly annotated to use the package, leading to automatic deployment by the respective workflow management system, thereby improving reproducibility and transparency. Check the documentation of your workflow management system to find out about the integration.

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