Case study: DNA methylation data analysis (edX)

Case study: DNA methylation data analysis (edX)
Free Course
Categories
Effort
Certification
Languages
"Advanced Statistics for the Life Sciences" and "Introduction to Bioconductor"
Misc

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Case study: DNA methylation data analysis (edX)
Basic workflow for analyzing DNA methylation data. The course is running Self-Paced through September 15th, 2015.

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In this course 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 in analyzing DNA methylation data, including reading the raw data, normalization, and finding regions of differential methylation across multiple samples.

This class was supported in part by NIH grant R25GM114818.

This course is part of a larger set of 8 total courses running Self-Paced through September 15th, 2015:

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





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MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Free Course
"Advanced Statistics for the Life Sciences" and "Introduction to Bioconductor"

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.