recipe spectrseqtools

SpectrSeqTools is a fully automatic analysis platform for sequencing small RNA molecules including post translational modifications measured via LC-MS/MS data.

Homepage:

https://github.com/spectrseq/spectrseqtools

License:

GPL-3.0-only

Recipe:

/spectrseqtools/meta.yaml

package spectrseqtools

(downloads) docker_spectrseqtools

versions:

0.1.2-0

depends altair:

>=5.4.1,<6.0

depends clr_loader:

>=0.2.7.post0,<0.3

depends dbscan1d:

>=0.2.3,<0.3

depends loguru:

>=0.7.2,<0.8

depends mono:

>=6.12.0.199,<7

depends ms_deisotope:

>=0.0.60,<0.1

depends numpy:

>=2.2.3,<3.0

depends platformdirs:

>=4.3.8,<5.0

depends polars:

>=1.9.0,<2.0

depends pulp:

>=2.3.0,<3.0

depends python:

>=3.12,<3.14

depends pythonnet:

>=3.0.5,<4.0

depends pyyaml:

>=6.0.2,<7.0

depends scikit-learn:

>=1.7.2,<2.0

depends tqdm:

>=4.67.1,<5.0

depends typed-argument-parser:

>=1.10.1,<2.0

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 spectrseqtools

and update with::

   mamba update spectrseqtools

To create a new environment, run:

mamba create --name myenvname spectrseqtools

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/spectrseqtools:<tag>

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

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