recipe moff

moFF is an OS independent tool designed to extract apex MS1 intensity using a set of identified MS2 peptides.

Homepage:

https://github.com/compomics/moFF

License:

Apache 2.0

Recipe:

/moff/meta.yaml

Links:

doi: 10.1021/acs.jproteome.8b00708, usegalaxy-eu: proteomics_moff

package moff

versions:

2.0.3-5,  2.0.3-4,  2.0.3-3,  2.0.3-2,  2.0.2-2,  2.0.2-1,  2.0.2-0,  2.0.1-0,  1.2.1-1, 

2.0.3-5,  2.0.3-4,  2.0.3-3,  2.0.3-2,  2.0.2-2,  2.0.2-1,  2.0.2-0,  2.0.1-0,  1.2.1-1,  1.2.1-0,  1.2-0,  1.1-0

depends brain-isotopic-distribution:

depends mono:

depends numpy:

>=1.15

depends pandas:

>=0.23,<1.0.0

depends pymzml:

>=2.0.6

depends pynumpress:

depends pyteomics:

>=3.5

depends python:

>=3.4,<3.7

depends scikit-learn:

>0.19

depends scipy:

>=1.1

depends simplejson:

>=3.16.1

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 moff

and update with::

   mamba update moff

To create a new environment, run:

mamba create --name myenvname moff

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/moff:<tag>

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

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