Learn advanced approaches to genomic visualization, reproducible analysis, data architecture, and exploration of cloud-scale consortium-generated genomic data.
Part of the Genomics Data Analysis Professional Certificate program by HarvardX
Welcome to "Advanced Bioconductor," an advanced-level course that delves deep into the world of genomic data analysis and visualization. This course builds upon the foundation laid in previous courses and takes your skills to the next level in handling, analyzing, and interpreting complex genomic data.
To succeed in this course, students should have completed the following prerequisites:
Additionally, a strong background in R programming, statistics, and basic genomics concepts is essential.
The skills acquired in this course have numerous real-world applications:
By mastering these advanced techniques, learners will be well-equipped to tackle complex challenges in genomics and contribute to groundbreaking discoveries in the field of life sciences.
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Drugs are biologically active compounds. Drug discovery and drug development rely on methods for measuring biological activity. The term “activity” is quite general. In practice, a substance’s biological activity can refer to how a substance affects a biological pathway, cell-level responses, safety risks, how long a substance resides within in a system, as well as a substance’s effects in an organism (called pharmacodynamics). The design of methods for measuring activity is a critical aspect of drug discovery. The design of robust and informative methods can accelerate the drug discovery and development process.
