- recipe ms2pip
MS²PIP: MS² Peak Intensity Prediction
- Homepage:
- Developer docs:
- License:
APACHE / Apache-2.0
- Recipe:
- package ms2pip¶
- versions:
4.0.0-0,4.0.0.dev8-0,4.0.0.dev4-0,3.11.0-2,3.11.0-0,3.10.0-0,3.9.0-0,3.6.3-1,3.6.3-0,4.0.0-0,4.0.0.dev8-0,4.0.0.dev4-0,3.11.0-2,3.11.0-0,3.10.0-0,3.9.0-0,3.6.3-1,3.6.3-0,3.6.2-0- depends click:
>=7,<9- depends libgcc:
>=12- depends lxml:
>=4- depends matplotlib-base:
>=3.0- depends ms2rescore-rs:
- depends numpy:
>=1.22.4,<2.0a0- depends pandas:
>=1.0,<2- depends psm-utils:
>=0.9- depends pyarrow:
- depends pydantic:
>=2- depends pyopenms:
- depends pytables:
>=3.4- depends pyteomics:
>=3.5,<5- depends python:
>=3.10,<3.11.0a0- depends python_abi:
3.10.* *_cp310- depends rich:
>=13- depends tomlkit:
>=0.5,<1- depends tqdm:
>=4- depends werkzeug:
>=2- depends xgboost:
>=1.3,<2- 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 ms2pip and update with:: mamba update ms2pip
To create a new environment, run:
mamba create --name myenvname ms2pip
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/ms2pip:<tag> (see `ms2pip/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an 
badge with the following MarkDown:
[](http://bioconda.github.io/recipes/ms2pip/README.html)
