DMED 607 Practical Lab: Data Pipelines in Bioinformatics

This laboratory course focuses on the development of data analysis pipelines for large-scale biological datasets. Students will design and implement workflows using cloud platforms (e.g., AWS, Google Cloud) and automation tools. Topics include data preprocessing, parallel computing, and reproducible research practices.

Credits

3

Offered

Spring

Outcomes

1. 1. Design and execute bioinformatics data pipelines.
2. 2. Utilize cloud platforms for large-scale biological data analysis.
3. 3. Implement best practices for reproducible computational research.