recipe ashlar

Alignment by Simultaneous Harmonization of Layer/Adjacency Registration

Homepage:

https://github.com/sorgerlab/ashlar

Documentation:

https://labsyspharm.github.io/ashlar/

License:

MIT / MIT

Recipe:

/ashlar/meta.yaml

package ashlar

versions:

1.18.0-0,  1.17.0-0,  1.16.0-0

depends blessed:

>=1.17

depends matplotlib-base:

>=3.1.2

depends networkx:

>=2.4

depends numpy:

>=1.18.1

depends pyjnius:

>=1.2.1

depends python:

<3.12

depends scikit-image:

0.19

depends scikit-learn:

>=0.21.1

depends scipy:

>=1.4.1

depends tifffile:

>=2022.4.8

depends zarr:

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 ashlar

and update with::

   mamba update ashlar

To create a new environment, run:

mamba create --name myenvname ashlar

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/ashlar:<tag>

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

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Link to this page

Render an badge with the following MarkDown:

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