- recipe gene-trajectory-python
Compute gene trajectories
- Homepage:
- License:
MIT
- Recipe:
Gene Trajectory is a Python package that computes and analyzes gene trajectories in single-cell data. It provides tools for trajectory inference, gene expression analysis along trajectories, and visualization of results.
- package gene-trajectory-python¶
- versions:
1.0.4-0- depends matplotlib-base:
>=3.6- depends numpy:
>=1.25- depends pandas:
>=1.5- depends pot:
>=0.8.2- depends python:
>=3.9- depends python-igraph:
>=0.10- depends scanpy:
>=1.9.3- depends scikit-learn:
>=0.24- depends scikit-misc:
>=0.1.3- depends scipy:
>=1.8- depends seaborn:
>=0.13- depends tqdm:
>=4.64.1- 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 gene-trajectory-python and update with:: mamba update gene-trajectory-python
To create a new environment, run:
mamba create --name myenvname gene-trajectory-python
with
myenvnamebeing 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/gene-trajectory-python:<tag> (see `gene-trajectory-python/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an 
badge with the following MarkDown:
[](http://bioconda.github.io/recipes/gene-trajectory-python/README.html)
