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Simply paste your sequences, click convert, and get standardized results instantly.\n\n## Features\n\n- Easy-to-use web interface\n- Batch processing of multiple sequences\n- Instant conversion using the `canonicalize_iupac` function from glycowork\n- Error handling for invalid sequences\n\n## Usage\n\n1. Enter one or more glycan sequences in the input text area (one per line)\n2. Click the \"Convert\" button\n3. View and copy the canonicalized sequences from the output area\n\n## Local Development\n\nTo run this application locally:\n\n```\npip install -r requirements.txt\nstreamlit run app.py\n```\n\n## Deployment\n\nThis application is deployed on Streamlit Cloud and is freely accessible at the [canonicalize app](https://canonicalize.streamlit.app/).\n\n## Dependencies\n\n- streamlit\n- glycowork\n\n## License\n\nThis project is licensed under the MIT License - see the LICENSE file for details.\n\n## Contact\n\nFor questions or issues related to this application, please open an issue on this repository.\nFor questions about the glycowork package, visit the [glycowork repository](https://github.com/BojarLab/glycowork).","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbojarlab%2Fcanonicalize_app","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbojarlab%2Fcanonicalize_app","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbojarlab%2Fcanonicalize_app/lists"}