Add COBRArrow MATLAB API Tutorial

[fernweh-3]

Description:

This PR introduces a comprehensive tutorial for the COBRArrow MATLAB API. The tutorial is designed to guide users through the key functionalities of COBRArrow, including environment setup, sending models to a remote server, fetching models, persisting models to a database, and optimizing models.

Key Sections Covered:

1. Introduction:

   • Provides an overview of COBRArrow and its purpose in handling large-scale biochemical reaction models through remote procedure calls (RPC).

2. Step 1: Environment Setup:

   • Detailed instructions for ensuring that MATLAB, Python, and the COBRA Toolbox are properly installed and configured.
   • Specific guidance on Python compatibility with MATLAB, with links to relevant MathWorks documentation.

3. Step 2: Setting Up COBRArrow:

   • Instructions on initializing COBRArrow within MATLAB, including how to establish a connection to a remote server.

4. Step 3: Sending and Optimizing a Model:

   • Demonstrates how to load a model, send it to the remote server, and run optimizations using remote resources.
   • Includes examples of setting solver parameters and handling potential errors, such as overwriting existing models on the server.

5. Additional Methods:

   • Explains how to fetch models and specific fields from the server, persist models to a database, and list flight information on the server.

6. Troubleshooting:

   • Provides common troubleshooting steps for issues related to sending models, running optimizations, and ensuring compatibility.

7. Acknowledgments:

   • Notes on current limitations, such as the lack of support for parameter changes in the remote optimization service, and the importance of persisting models to prevent data loss.

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Reviewers:

Please review the tutorial for:

• Clarity and completeness of the instructions.
• Accuracy of the examples provided.
• Usability of the script as a learning tool for new users of COBRArrow.

Feedback on improving the tutorial content or identifying any gaps is welcome.