Skip to main content

Add your description here

Project description

Celline - Single Cell RNA-seq Analysis Pipeline

Celline is a comprehensive, interactive pipeline for single-cell RNA sequencing (scRNA-seq) analysis, designed to streamline the workflow from raw data to biological insights.

Features

  • Automated Data Processing: From raw fastq files to expression matrices
  • Quality Control: Built-in QC metrics and filtering
  • Dimensionality Reduction: PCA, t-SNE, and UMAP implementations
  • Clustering Analysis: Multiple clustering algorithms
  • Cell Type Prediction: Automated cell type annotation
  • Batch Effect Correction: Multiple methods for data integration
  • Interactive Visualization: Web-based interface for data exploration
  • Reproducible Workflows: Containerized environments and version control

Installation

Install Celline using pip:

pip install celline

Quick Start

After installation, you can use the celline command globally:

# Initialize a new project
celline init

# List available functions
celline list

# Run preprocessing
celline run preprocess

# Launch interactive interface
celline interactive

Documentation

For detailed documentation, please refer to the user guide and API reference.

License

This project is licensed under the MIT License.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

celline-0.1.12.tar.gz (321.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

celline-0.1.12-py3-none-any.whl (373.8 kB view details)

Uploaded Python 3

File details

Details for the file celline-0.1.12.tar.gz.

File metadata

  • Download URL: celline-0.1.12.tar.gz
  • Upload date:
  • Size: 321.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for celline-0.1.12.tar.gz
Algorithm Hash digest
SHA256 b8ec34d463ced6c581443b285a629fa8526998e8a0d42438c44d16762efa6ab5
MD5 3dcb320ce7adfd757229421c8218a2fc
BLAKE2b-256 7c93f809a298a15b548a7def4744631b5402dad2161407c6740446e3005b567a

See more details on using hashes here.

Provenance

The following attestation bundles were made for celline-0.1.12.tar.gz:

Publisher: publish-testpypi.yml on Kataoka-K-Lab/Celline

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file celline-0.1.12-py3-none-any.whl.

File metadata

  • Download URL: celline-0.1.12-py3-none-any.whl
  • Upload date:
  • Size: 373.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for celline-0.1.12-py3-none-any.whl
Algorithm Hash digest
SHA256 56cf78392715bcd28dd27c2faf741154960dfa6e46a23acab8e64b592e2741ec
MD5 b7c1dd3812e590d5e2fc5d34e4bddc34
BLAKE2b-256 1b5e3c406c632419a14cef980143d91ece04e93c28bb787668aa506df43f2d85

See more details on using hashes here.

Provenance

The following attestation bundles were made for celline-0.1.12-py3-none-any.whl:

Publisher: publish-testpypi.yml on Kataoka-K-Lab/Celline

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page