recipe cptac

Python packaging for CPTAC data

Homepage:

https://pypi.org/project/cptac/

Documentation:

https://paynelab.github.io/cptac/

Developer docs:

https://github.com/PayneLab/cptac

License:

Apache-2.0

Recipe:

/cptac/meta.yaml

Links:

biotools: cptac, doi: 10.1021/acs.jproteome.0c00919

package cptac

versions:

1.5.13-0,  1.5.11-0,  1.5.10-0,  1.5.8-0,  1.5.7-0,  1.5.5-0,  1.5.4-0,  1.5.3-0,  1.5.1-0, 

1.5.13-0,  1.5.11-0,  1.5.10-0,  1.5.8-0,  1.5.7-0,  1.5.5-0,  1.5.4-0,  1.5.3-0,  1.5.1-0,  1.5.0-0,  1.1.2-0,  1.1.1-0,  1.1.0-0,  1.0.0rc1-0,  0.9.7-0,  0.9.6-0

depends beautifulsoup4:

>=4.7.1

depends flask:

>=1.1.0

depends gtfparse:

>=1.2.1

depends mygene:

>=3.2.2

depends numpy:

>=1.16.3

depends openpyxl:

>=2.6.0

depends packaging:

>=19.2

depends pandas:

>=1.2.0

depends pyranges:

depends python:

>=3.6

depends requests:

>=2.21.0

depends scipy:

>=1.2.1

depends statsmodels:

>=0.10.0

depends tqdm:

depends urllib3:

>=1.24.2

depends xlrd:

>=2.0.1

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 cptac

and update with::

   mamba update cptac

To create a new environment, run:

mamba create --name myenvname cptac

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/cptac:<tag>

(see `cptac/tags`_ for valid values for ``<tag>``)

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