recipe ms2pip

MS²PIP: MS² Peak Intensity Prediction

Homepage:

http://compomics.github.io/projects/ms2pip_c

Developer docs:

https://github.com/compomics/ms2pip_c

License:

APACHE / Apache-2.0

Recipe:

/ms2pip/meta.yaml

package ms2pip

(downloads) docker_ms2pip

versions:
4.0.0-04.0.0.dev8-04.0.0.dev4-03.11.0-23.11.0-03.10.0-03.9.0-03.6.3-13.6.3-0

4.0.0-04.0.0.dev8-04.0.0.dev4-03.11.0-23.11.0-03.10.0-03.9.0-03.6.3-13.6.3-03.6.2-0

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:

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 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/ms2pip:<tag>

(see `ms2pip/tags`_ for valid values for ``<tag>``)

Download stats