Demystifying Biomedical Big Data: A User's Guide

Course Description

"Demystifying Biomedical Big Data: A User's Guide" is designed to empower professionals and students in the biomedical field with limited bioinformatics experience. This comprehensive course aims to bridge the gap between the ever-growing volume of biomedical data and the ability to effectively analyze and interpret it for scientific discoveries and patient care.

What You Will Learn

• Understanding the generation and processing of biomedical data
• Exploring various biomedical big data resources (e.g., TCGA, G-DOC, UNIPROT)
• Analyzing genomic, transcriptomic, and proteomic data using online tools
• Utilizing systems biology resources and tools to make sense of big data
• Appreciating the value of big data in biomedical research and clinical practice

Prerequisites

While not strictly required, a background in biology (high school or undergraduate level) is suggested. Students are encouraged to review relevant courses in biology and life sciences, including genetics, genomics, DNA/RNA/Protein structure and function, transcription, and translation.

Course Content

• Introduction to bioinformatics platforms and resources
• Translational research and big data
• DNA and big data analysis (copy number, genome sequencing)
• RNA and big data analysis (gene expression, microRNA)
• Protein analysis and big data
• Systems biology and big data integration
• Regulatory issues related to biomedical big data
• Perspectives from experts in the field

Who Should Take This Course

• Biomedical researchers and scientists
• Healthcare professionals
• Students in biology, medicine, or related fields
• Anyone interested in understanding and leveraging biomedical big data

Real-World Applications

• Conduct more effective biomedical research by leveraging big data resources
• Improve patient care through data-driven decision-making
• Contribute to precision medicine initiatives
• Collaborate more effectively with bioinformaticians and data scientists
• Stay current with the latest trends in biomedical data analysis
• Apply data analysis techniques to your own research or clinical practice

Syllabus

Each week includes lectures, demonstrations, and hands-on exercises to reinforce learning and practical application of the concepts covered.