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Individual Course

Case Studies in Functional Genomics

Course Length

5 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

Perform RNA-Seq, ChIP-Seq, and DNA methylation data analyses, using open source software, including R and Bioconductor.

We will explain how to perform the standard processing and normalization steps, starting with raw data, to get to the point where one can investigate relevant biological questions. Throughout the case studies, we will make use of exploratory plots to get a general overview of the shape of the data and the result of the experiment.

We start with RNA-seq data analysis covering basic concepts and a first look at FASTQ files. We will also go over quality control of FASTQ files; aligning RNA-seq reads; visualizing alignments and move on to analyzing RNA-seq at the gene-level : counting reads in genes; Exploratory Data Analysis and variance stabilization for counts; count-based differential expression; normalization and batch effects. Finally, we cover RNA-seq at the transcript-level : inferring expression of transcripts (i.e. alternative isoforms); differential exon usage. We will learn the basic steps in analyzing DNA methylation data, including reading the raw data, normalization, and finding regions of differential methylation across multiple samples. The course will end with a brief description of the basic steps for analyzing ChIP-seq datasets, from read alignment, to peak calling, and assessing differential binding patterns across multiple samples.

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

Learn about mapping reads.

Learning Outcome

Understand quality assessment of Next Generation Data

Learning Outcome

Analyzie RNA-seq data, DNA methylation data, and ChIP Seq data

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Faculty

Rafael Irizarry

Your Instructor

Vincent Carey

Professor of Medicine, Harvard Medical School

Vincent Carey is Professor of Medicine (Biostatistics) in the Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School. As a Fulbright Specialist and as an invited lecturer, he has given short courses in statistical genomics on four continents.

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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.

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  • 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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