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-0.1.7.tar.gz (317.9 kB view details)

Uploaded Source

Built Distribution

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

celline-0.1.7-py3-none-any.whl (369.6 kB view details)

Uploaded Python 3

File details

Details for the file celline-0.1.7.tar.gz.

File metadata

  • Download URL: celline-0.1.7.tar.gz
  • Upload date:
  • Size: 317.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for celline-0.1.7.tar.gz
Algorithm Hash digest
SHA256 5e9851ed10b84a5abdad4eb49f77485135b484ad4a3a867902f86b3a6fe6e9a0
MD5 3eff9704defc41ab0edc8a8c19ab585a
BLAKE2b-256 c77b107d7ed94f827652eb55e5bd2fd62407778e48ac40009132584067bb7c00

See more details on using hashes here.

Provenance

The following attestation bundles were made for celline-0.1.7.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-0.1.7-py3-none-any.whl.

File metadata

  • Download URL: celline-0.1.7-py3-none-any.whl
  • Upload date:
  • Size: 369.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for celline-0.1.7-py3-none-any.whl
Algorithm Hash digest
SHA256 aed1c29a2d56b610805fa41d0413a050cb6255e963a1c0848ac0446842ea50a4
MD5 621d2e62a957490eca3d692843b20250
BLAKE2b-256 45568d219cedee11c3e0ebc869b0126c642a6d969dd78dffe8c02b6ee6a49aa8

See more details on using hashes here.

Provenance

The following attestation bundles were made for celline-0.1.7-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