https://github.com/gao-lab/Cell_BLAST

A BLAST-like toolkit for large-scale scRNA-seq data querying and annotation.
https://github.com/gao-lab/Cell_BLAST

bioinformatics deep-learning single-cell single-cell-rna-seq

Last synced: 24 days ago
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A BLAST-like toolkit for large-scale scRNA-seq data querying and annotation.

• Host: GitHub
• URL: https://github.com/gao-lab/Cell_BLAST
• Owner: gao-lab
• License: mit
• Created: 2019-03-23T15:44:45.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2023-07-24T12:49:20.000Z (11 months ago)
• Last Synced: 2024-02-24T12:37:58.177Z (4 months ago)
• Topics: bioinformatics, deep-learning, single-cell, single-cell-rna-seq
• Language: Python
• Homepage: http://cblast.gao-lab.org
• Size: 32.5 MB
• Stars: 78
• Watchers: 7
• Forks: 13
• Open Issues: 5
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Lists

• awesome_single_cell - Cell\_BLAST - [Python] - A BLAST-like toolkit for scRNA-seq data querying and automated annotation. (Software packages / RNA-seq)
• awesome-single-cell - Cell\_BLAST - [Python] - A BLAST-like toolkit for scRNA-seq data querying and automated annotation. (Software packages / RNA-seq)
• awesome-single-cell - Cell\_BLAST - [Python] - A BLAST-like toolkit for scRNA-seq data querying and automated annotation. (Software packages / RNA-seq)

README

        
# Cell BLAST

[![license-badge](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

[![pypi-badge](https://img.shields.io/pypi/v/Cell-BLAST)](https://pypi.org/project/Cell-BLAST)

[![docs-badge](https://readthedocs.org/projects/cblast/badge/?version=latest)](https://cblast.readthedocs.io/en/latest/?badge=latest)

[![build-badge](https://github.com/gao-lab/Cell_BLAST/actions/workflows/build.yml/badge.svg)](https://github.com/gao-lab/Cell_BLAST/actions/workflows/build.yml)

Cell BLAST is a cell querying tool for single-cell transcriptomics data.

For each query cell, it searches for most similar cells in the reference database.

Annotations in reference cells, e.g. cell type, can then be transfered to query

cells based on cell-to-cell similarities. See our

[publication](https://www.nature.com/articles/s41467-020-17281-7) for details.

## Installing the Python package

We only support installation via pip right now.

Installation within virtual environments are recommended, see

[virtualenv](https://virtualenv.pypa.io/en/latest/) or

[conda](https://conda.io/docs/user-guide/tasks/manage-environments.html).

For conda, here's a one-liner to set up an empty environment

for installing Cell BLAST:

`conda create -n cb python=3.9 && conda activate cb`

Then follow the instructions below to install Cell BLAST:

1. Install Cell BLAST from PyPI by running:

   `pip install Cell-BLAST`

   Or, install an editable dev version by running the following command

   under the root directory of this repo:

   `flit install -s`

2. Check if the package can be imported in the Python interpreter:

   ```python

   import Cell_BLAST as cb

   print(cb.__version__)

   ```

## Documentation

Online documentation can be found [here](https://cblast.readthedocs.org/).

## Web-based interface

We also provide a [Web-based service](http://cblast.gao-lab.org/) for

off-the-shelf querying of our ACA reference panels.

## Reproduce results in the paper

To reproduce results, please check out the `rep` branch.

## Contact

Feel free to submit an issue or contact us at

[[email protected]](mailto:[email protected])

for problems about the Python package, website or database.