Understand the scope of omics research and methods in: genomics, epigenomics, transcriptomics, proteomics, and metabolomics.
Understand omics in terms of investigation for your biological questions (disease etiology, diagnosis, and treatment).
Learn about the importance of experimental design in omics research.
Understand the challenges and limitations of big data analysis, including integration of data, batching, computational resources, and working with team members across all fields.
Omics is a rapidly evolving, multi-disciplinary, and emerging field that encompasses genomics, epigenomics, transcriptomics, proteomics, and metabolomics. Each of these fields offers the possibility to understand and view biology from a global perspective in a way that was previously unthinkable. High-throughput methodologies can rapidly provide a global picture of the processes within cells at multiple levels, allowing for accelerated discoveries in health and disease.
As sequencing technologies improve and costs decline, it’s imperative for biomedical researchers to build a foundational understanding of managing large omics datasets. This online course covers the different omics areas, including their appropriate applications and experimental challenges.
