- recipe pyprophet
Python reimplementation of mProphet peak scoring
- Homepage:
- License:
BSD / BSD License
- Recipe:
- package pyprophet¶
- versions:
2.2.5-3,2.2.5-1,2.2.5-0,2.2.4-0,2.2.3-0,2.1.12-0,2.1.11-0,2.1.10-2,2.1.10-1,2.2.5-3,2.2.5-1,2.2.5-0,2.2.4-0,2.2.3-0,2.1.12-0,2.1.11-0,2.1.10-2,2.1.10-1,2.1.10-0,2.1.6-0,2.1.5-1,2.1.5-0,2.1.4-0,2.1.3-0,0.24.1-1,0.24.1-0,0.22.0-0- depends click:
- depends dataclasses:
- depends hyperopt:
- depends libgcc-ng:
>=12- depends matplotlib-base:
- depends numexpr:
>=2.1- depends numpy:
>=1.19,<3- depends numpy:
>=2.0.0,<3.0a0- depends pandas:
>=0.17- depends pypdf2:
- depends python:
>=3.10,<3.11.0a0- depends python_abi:
3.10.* *_cp310- depends scikit-learn:
>=0.17- depends scipy:
- depends seaborn:
- depends statsmodels:
>=0.8.0- depends tabulate:
- depends typing-extensions:
- depends xgboost:
- requirements:
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 pyprophet and update with:: mamba update pyprophet
To create a new environment, run:
mamba create --name myenvname pyprophet
with
myenvnamebeing 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/pyprophet:<tag> (see `pyprophet/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an 
badge with the following MarkDown:
[](http://bioconda.github.io/recipes/pyprophet/README.html)
