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-0.1.11.tar.gz (321.1 kB view details)

Uploaded Source

Built Distribution

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

celline-0.1.11-py3-none-any.whl (373.1 kB view details)

Uploaded Python 3

File details

Details for the file celline-0.1.11.tar.gz.

File metadata

  • Download URL: celline-0.1.11.tar.gz
  • Upload date:
  • Size: 321.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for celline-0.1.11.tar.gz
Algorithm Hash digest
SHA256 7b7b5103460926f15117fd0eee6e00f6e966aa622af59b0ce498a4bf8913648e
MD5 08ad48578cb640a83d1f4cee1f807e94
BLAKE2b-256 f611b6abfad03960ed60f6134b283d0cb6f19894e45b27dc45c1f463e932d3b4

See more details on using hashes here.

Provenance

The following attestation bundles were made for celline-0.1.11.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-0.1.11-py3-none-any.whl.

File metadata

  • Download URL: celline-0.1.11-py3-none-any.whl
  • Upload date:
  • Size: 373.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for celline-0.1.11-py3-none-any.whl
Algorithm Hash digest
SHA256 4503710a77859c61c9b7886540290ff770200d02a3a7a5d626905b2eb88cf6c4
MD5 050a7ada213ba871e44e00af5a22c043
BLAKE2b-256 6a85bd60f4bad7f3fbf4890afb2d4668e496034b1e46d6100aefacd5f7710cf0

See more details on using hashes here.

Provenance

The following attestation bundles were made for celline-0.1.11-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