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Case study: RNA-seq data analysis

Basic workflow for analyzing RNA-seq datasets.

Cost: Free

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Description

About this Course In the PH525 case studies, we will explore the data analysis of an experimental protocol in depth, using various open source software, including R and Bioconductor. We will explain how to start with raw data, and perform the standard processing and normalization steps 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 will learn the basic steps for analyzing an RNA-seq dataset for an organism with a well-defined genome and curated gene annotation. This will include read alignment, inferring presence of isoforms, counting reads in genes, exploring sample distances, differential expression analysis, and creating visual summaries. This class was supported in part by NIH grant R25GM114818. This course is part of a larger set of 8 total courses: PH525.1x: Statistics and R for the Life Sciences PH525.2x: Introduction to Linear Models and Matrix Algebra PH525.3x: Advanced Statistics for the Life Sciences PH525.4x: Introduction to Bioconductor PH525.5x: Case study: RNA-seq data analysis PH525.6x: Case study: Variant Discovery and Genotyping PH525.7x: Case study: ChIP-seq data analysis PH525.8x: Case study: DNA methylation data analysis HarvardX pursues the science of learning. By registering as an online learner in an HX course, you will also participate in research about learning. Read our research statement to learn more.

Details

  • Days of the Week: Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, Sunday
  • Level of Difficulty: Beginner
  • Size: Massive Open Online Course
  • Instructors: Michael Love, Rafael Irizarry
  • Cost: Free
  • Institution: EdX

Provider Overview

About EdX: EdX offers interactive online classes and MOOCs from the world’s best universities. Topics include biology, business, chemistry, computer science, economics, finance, electronics, engineering, food and nutrition, history, humanities, law, literature, math, medicine, music, philosophy, physics, science, statistics and more. EdX is a non-profit online initiative created by founding partners Harvard and MIT.

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