recipe bioconductor-pipets

Poisson Identification of PEaks from Term-Seq data

Homepage:

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

License:

GPL-3

Recipe:

/bioconductor-pipets/meta.yaml

PIPETS provides statistically robust analysis for 3'-seq/term-seq data. It utilizes a sliding window approach to apply a Poisson Distribution test to identify genomic positions with termination read coverage that is significantly higher than the surrounding signal. PIPETS then condenses proximal signal and produces strand specific results that contain all significant termination peaks.

package bioconductor-pipets

(downloads) docker_bioconductor-pipets

versions:

1.2.0-0

depends bioconductor-biocgenerics:

>=0.52.0,<0.53.0

depends bioconductor-genomicranges:

>=1.58.0,<1.59.0

depends r-base:

>=4.4,<4.5.0a0

depends r-dplyr:

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-pipets

and update with::

   mamba update bioconductor-pipets

To create a new environment, run:

mamba create --name myenvname bioconductor-pipets

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-pipets:<tag>

(see `bioconductor-pipets/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-pipets/README.html)