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Individual Course

Advanced Bioconductor

Course Length

4 weeks

2-4 hours a week

Featuring faculty from:

Harvard T.H. Chan School of Public Health LogoHarvard T.H. Chan School of Public Health

Enroll as Individual

Certificate Price:

$ 219

Enroll as Individual

Certificate Price:

$ 219

Learn advanced approaches to genomic visualization, reproducible analysis, data architecture, and exploration of cloud-scale consortium-generated genomic data.

In this course, we begin with approaches to visualization of genome-scale data, and provide tools to build interactive graphical interfaces to speed discovery and interpretation. Using knitr and rmarkdown as basic authoring tools, the concept of reproducible research is developed, and the concept of an executable document is presented. In this framework reports are linked tightly to the underlying data and code, enhancing reproducibility and extensibility of completed analyses. We study out-of-memory approaches to the analysis of very large data resources, using relational databases or HDF5 as "back ends" with familiar R interfaces. Multiomic data integration is illustrated using a curated version of The Cancer Genome Atlas. Finally, we explore cloud-resident resources developed for the Encyclopedia of DNA Elements (the ENCODE project). These address transcription factor binding, ATAC-seq, and RNA-seq with CRISPR interference. Given the diversity in educational background of our students we have divided the series into seven parts. You can take the entire series or individual courses that interest you. If you are a statistician you should consider skipping the first two or three courses, similarly, if you are biologists you should consider skipping some of the introductory biology lectures. Note that the statistics and programming aspects of the class ramp up in difficulty relatively quickly across the first three courses. By the third course will be teaching advanced statistical concepts such as hierarchical models and by the fourth advanced software engineering skills, such as parallel computing and reproducible research concepts. The course will be delivered via edX and connect learners around the world.

Self-Guided

EDX

Learning Outcome

Static and interactive visualization of genomic data.

Learning Outcome

Memory-sparing representations of genomic assays.

Learning Outcome

Targeted interrogation of cloud-scale genomic archive.

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  • Be part of the Harvard Community
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Faculty

Rafael Irizarry

Your Instructor

Michael Love

Assistant Professor, UNC Gillings School of Global Public Health

Dr. Love received his bachelor’s in mathematics in 2005 from Stanford University, his master’s in statistics in 2010 from Stanford University, and his Ph.D. in Computational Biology in 2013 from the Freie Universität Berlin.

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Your Instructor

Rafael Irizarry

Professor of Biostatistics, Harvard T.H. Chan School of Public Health

Rafael Irizarry is a Professor of Biostatistics at the Harvard T.H. Chan School of Public Health and a Professor of Biostatistics and Computational Biology at the Dana Farber Cancer Institute. For the past 15 years, Dr. Irizarry’s research has focused on the analysis of genomics data. During this time, he has also taught several classes, all related to applied statistics. Dr. Irizarry is one of the founders of the Bioconductor Project, an open source and open development software project for the analysis of genomic data. His publications related to these topics have been highly cited and his software implementations widely downloaded.

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Complete your journey with this Professional Certificate Series

These courses can be bundled together to receive a Professional Certificate at a discounted price.

  • 3 Courses
  • 3 Months
  • Earn Your Certificate
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Ways to take this course

Audit or Pursue a Verified Certificate

A Verified Certificate costs $219 and provides unlimited access to full course materials, activities, tests, and forums. At the end of the course, learners who earn a passing grade can receive a certificate.

⁠Alternatively, learners can Audit the course for free and have access to select course material, activities, tests, and forums. Please note that this track does not offer a certificate for learners who earn a passing grade.

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