recipe bioconductor-gothic

Binomial test for Hi-C data analysis

Homepage:

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

License:

GPL-3

Recipe:

/bioconductor-gothic/meta.yaml

Links:

biotools: gothic, doi: 10.1101/gr.185272.114

This is a Hi-C analysis package using a cumulative binomial test to detect interactions between distal genomic loci that have significantly more reads than expected by chance in Hi-C experiments. It takes mapped paired NGS reads as input and gives back the list of significant interactions for a given bin size in the genome.

package bioconductor-gothic

versions:

1.42.0-0,  1.38.0-0,  1.36.0-0,  1.34.0-0,  1.30.0-0,  1.28.0-0,  1.26.0-1,  1.26.0-0,  1.24.0-0, 

1.42.0-0,  1.38.0-0,  1.36.0-0,  1.34.0-0,  1.30.0-0,  1.28.0-0,  1.26.0-1,  1.26.0-0,  1.24.0-0,  1.22.0-0,  1.20.6-0,  1.18.0-0,  1.16.0-0,  1.14.0-0,  1.12.0-0,  1.10.0-0

depends bioconductor-biocgenerics:

>=0.52.0,<0.53.0

depends bioconductor-biostrings:

>=2.74.0,<2.75.0

depends bioconductor-bsgenome:

>=1.74.0,<1.75.0

depends bioconductor-genomeinfodb:

>=1.42.0,<1.43.0

depends bioconductor-genomicranges:

>=1.58.0,<1.59.0

depends bioconductor-iranges:

>=2.40.0,<2.41.0

depends bioconductor-rsamtools:

>=2.22.0,<2.23.0

depends bioconductor-rtracklayer:

>=1.66.0,<1.67.0

depends bioconductor-s4vectors:

>=0.44.0,<0.45.0

depends bioconductor-shortread:

>=1.64.0,<1.65.0

depends r-base:

>=4.4,<4.5.0a0

depends r-biocmanager:

depends r-data.table:

depends r-ggplot2:

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-gothic

and update with::

   mamba update bioconductor-gothic

To create a new environment, run:

mamba create --name myenvname bioconductor-gothic

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-gothic:<tag>

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

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