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-0.1.14.tar.gz (321.5 kB view details)

Uploaded Source

Built Distribution

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

celline-0.1.14-py3-none-any.whl (373.5 kB view details)

Uploaded Python 3

File details

Details for the file celline-0.1.14.tar.gz.

File metadata

  • Download URL: celline-0.1.14.tar.gz
  • Upload date:
  • Size: 321.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for celline-0.1.14.tar.gz
Algorithm Hash digest
SHA256 90fe5e07b62c7cba535a92f6db794557103a8fd3b08f39f86e79dee3ad78873c
MD5 bb28c2844dd23729a23d7a0b44a2531b
BLAKE2b-256 68247a69e3f030e76765d86a0dae1801a8feeeaa10c03a76b255c9deaf978ea5

See more details on using hashes here.

Provenance

The following attestation bundles were made for celline-0.1.14.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-0.1.14-py3-none-any.whl.

File metadata

  • Download URL: celline-0.1.14-py3-none-any.whl
  • Upload date:
  • Size: 373.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for celline-0.1.14-py3-none-any.whl
Algorithm Hash digest
SHA256 7de62a1520d6e91b55f8cb86c5366bbbd77807dc18e33fbd8180ac43320ae4c6
MD5 b5bb010abe160b996eed0e26c696999b
BLAKE2b-256 da9eb07ff0176af6396ef2e6548f3e1cb4c011b63a673e3132b703a13e91fcd1

See more details on using hashes here.

Provenance

The following attestation bundles were made for celline-0.1.14-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