recipe snakelines

Computational pipelines for processing of paired-end sequencing reads.

Homepage:

https://snakelines.readthedocs.io/en/latest/

License:

CC BY-NC-SA

Recipe:

/snakelines/meta.yaml

package snakelines

versions:

1.1.8-0,  1.1.4-0,  1.1.0-0,  1.0.4-0,  0.10.0-1,  0.10.0-0,  0.9.2-0

depends bs4:

>=4.9,<4.10

depends jinja2:

>=3.1.2,<3.2

depends multiqc:

>=1.10,<1.11

depends numpy:

>=1.19,<1.20

depends oyaml:

>=0.9,<1.0

depends pandas:

>=1.1,<1.2

depends parse:

>=1.19.0,<1.20

depends pygraphviz:

>=1.7,<1.8

depends python:

>=3.9,<3.10

depends seaborn:

>=0.11,<0.12

depends snakemake-minimal:

>=7.18,<7.19

depends tk:

>=8.6,<8.7

depends weasyprint:

>=51,<52

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 snakelines

and update with::

   mamba update snakelines

To create a new environment, run:

mamba create --name myenvname snakelines

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/snakelines:<tag>

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

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