recipe combined-pvalues

A library to combine, analyze, group and correct p-values in BED files. Unique tools involve correction for spatial autocorrelation. This is useful for ChIP-Seq probes and Tiling arrays, or any data with spatial correlation.

Homepage:

https://github.com/brentp/combined-pvalues

License:

MIT

Recipe:

/combined-pvalues/meta.yaml

package combined-pvalues

versions:

0.50.6-0,  0.50.5-0,  0.50.2-0,  0.50.0-0,  0.48-3,  0.48-2,  0.48-0,  0.46-0

depends interlap:

depends numpy:

depends python:

<3

depends scipy:

depends toolshed:

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 combined-pvalues

and update with::

   mamba update combined-pvalues

To create a new environment, run:

mamba create --name myenvname combined-pvalues

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/combined-pvalues:<tag>

(see `combined-pvalues/tags`_ for valid values for ``<tag>``)

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Link to this page

Render an badge with the following MarkDown:

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