recipe pegasuspy

An efficient Python analysis tool which scales to transcriptomes of millions of single cells.

Homepage:

https://github.com/lilab-bcb/pegasus

Documentation:

https://pegasus.readthedocs.io

License:

BSD / BSD-3-Clause

Recipe:

/pegasuspy/meta.yaml

Links:

doi: 10.1038/s41592-020-0905-x

Pegasus is a tool for analyzing transcriptomes of millions of single cells. It is a command line tool, a python package and a base for Cloud-based analysis workflows.

package pegasuspy

Versions:

1.7.1-0,  1.6.0-0,  1.5.0-0,  1.2.0-1,  1.2.0-0

Depends:

• adjusttext

• anndata >=0.7.1

• demuxem

• docopt

• harmony-pytorch

• hnswlib

• importlib_metadata >=0.7

• joblib >=0.14

• leidenalg >=0.8.0

• libgcc-ng >=12

• lightgbm >=2.2.1

• loompy >=3

• louvain >=0.7.0

• matplotlib-base >=2.0.0

• natsort

• numba

• numpy

• pandas >=1.2.0

• pegasusio >=0.5.1

• psutil

• pyarrow >=9

• pybind11

• pyfit-sne >=1.1.1

• python >=3.7,<3.8.0a0

• python-igraph >=0.8.0

• python_abi 3.7.* *_cp37m

• scikit-learn >=0.23.2

• scikit-misc

• scipy >=1.7

• seaborn

• statsmodels

• threadpoolctl

• umap-learn >=0.5.2

• wordcloud

• xlsxwriter

Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install pegasuspy

and update with:

conda update pegasuspy

or use the docker container:

docker pull quay.io/biocontainers/pegasuspy:<tag>

(see pegasuspy/tags for valid values for <tag>)

Download stats

Link to this page

Render an badge with the following MarkDown:

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