singletCode

singletCode is a framework designed to identify true singlets in barcoded sequencing datasets. It utilizes a CSV file containing cell ID, barcode, and sample name to detect singlets within the dataset.

Getting Started

For detailed instructions on how to use SingletCode, including setup, input file formats, and execution commands, please visit our documentation.

Features

• Singlet Identification: Efficiently identifies true singlets from barcoded sequencing data.
• Easy Input: Works with a simple CSV file format that includes cell ID, barcode, and sample name.
• Comprehensive Documentation: Detailed guides and usage instructions available.

Installation

To install SingletCode, ensure that you have a compatible Python environment. For installation instructions, dependencies, and more, refer to the SingletCode documentation.

Usage

After installation, you can run SingletCode with your dataset by following the detailed usage instructions available in our documentation.

Contributing

We welcome contributions to the SingletCode project! If you have suggestions, bug reports, or contributions, please visit our repository's issues section or submit a pull request.

License

SingletCode is made available under a standard open-source license. For more details, see the LICENSE file in the repository.

For more information about how singletCode works and using it for your sequencing data, please visit SingletCode's homepage.