by cheeseman-lab · Agent Tool · ★ 26
mozzarellm Analyze gene clusters using Large Language Models (LLMs) to identify biological pathways and prioritize novel genes. Overview Mozzarellm is a Python package that leverages Large Language Models to analyze gene clusters for pathway identification and novel gene discovery. It provides a streamlined way to process gene cluster data, classify genes by their pathway involvement, and prioritize candidates for experimental validation.
| Stars | 26 |
| Forks | 2 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 67.098661459262/100 |
| Last Updated | 2026-04-07 |
| Created | 2025-04-02 |
| Platforms | python |
| Est. Tokens | ~1038k |
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mozzarellm is Tool for analyzing clusters of genes using LLM providers.. It is categorized as a Agent Tool with 26 GitHub stars.
mozzarellm is primarily written in Python.
You can find installation instructions and usage details in the mozzarellm GitHub repository at github.com/cheeseman-lab/mozzarellm. The project has 26 stars and 2 forks, indicating an active community.
mozzarellm is released under the MIT license, making it free to use and modify according to the license terms.