recipe piaso

PIASO: Precise Integrative Analysis of Single-cell Omics

Homepage:

https://piaso.org

Developer docs:

https://github.com/genecell/PIASO

License:

BSD / BSD-3-Clause

Recipe:

/piaso/meta.yaml

PIASO is a Python toolkit for precise integrative analysis of single-cell omics data. It provides methods for single-cell RNA-seq and ATAC-seq data analysis, including batch integration, clustering, and visualization.

package piaso

versions:

1.0.3-0

depends anndata:

>=0.8

depends cosg:

>=1.0.3

depends matplotlib-base:

>=3.5.2

depends numpy:

>=1.21.6

depends pandas:

>=1.4.4

depends python:

>=3.9

depends requests:

depends scanpy:

>=1.9.1

depends scikit-learn:

>=1.1

depends scipy:

>=1.7.3

depends seaborn:

>=0.11.2

depends statsmodels:

>=0.13.2

depends tqdm:

depends typing_extensions:

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 piaso

and update with::

   mamba update piaso

To create a new environment, run:

mamba create --name myenvname piaso

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/piaso:<tag>

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

Download stats

Link to this page

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/piaso/README.html)