EdX

Case study: DNA methylation data analysis (edX)

Offered by Harvard University,
Case study: DNA methylation data analysis (edX)

Basic workflow for analyzing DNA methylation data. The course is running Self-Paced through September 15th, 2015.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

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

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

Related Courses

Bipedalism: The Science of Upright Walking (edX) EdX
DartmouthX

Bipedalism: The Science of Upright Walking (edX)

Sci: Biology & Life Sciences Social Sciences

Upright walking is a hallmark of being human. Explore how this unusual form of locomotion evolved and why. Have you ever wondered why humans walk on two legs rather than four? In this course, we will explore how science investigates this unusual form of locomotion. We will start our investigation by looking at the mechanics of upright walking in humans and comparing that to bipedal locomotion in large birds, bears, and apes.

Self Paced
5-12 Weeks
Biology Anthropology Locomotion
Details
BioStatistics (edX) EdX
DoaneX,Doane University

BioStatistics (edX)

Sci: Biology & Life Sciences Statistics & Data Analysis

This college-level, credit-eligible Biostatistics course will teach you the skills required for success in future analytical studies in biology. In this undergraduate-level biostatistics course, the learners will be introduced to the use of statistics and study designs in biology. Upon successful completion of this course, learners will be able to design experimental, quasi-experimental and observational studies that will meet regulatory guidelines; collect, analyze, and interpret data using appropriate statistical tools.

Self Paced
Self-Paced
Biology Statistics Biostatistics
Details
Case Studies in Functional Genomics (edX) EdX
HarvardX,Harvard University

Case Studies in Functional Genomics (edX)

Sci: Biology & Life Sciences Statistics & Data Analysis

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.

Self Paced
Self-Paced
Data Analysis Biological Data Genomics
Details
Algorithms and Data Structures Capstone (edX) EdX
University of California, San Diego,UC San DiegoX

Algorithms and Data Structures Capstone (edX)

Sci: Biology & Life Sciences CS: Theory

Synthesize your knowledge of algorithms and biology to build your own software for solving a biological challenge. Building a fully-fledged algorithm to assemble genomes from DNA fragments on a real dataset is an enormous challenge with major demand in the multi-billion dollar biotech industry. In this capstone project, we will take the training wheels off and let you design your own optimized software program for genome sequencing.

Self Paced
Self-Paced
Biology Algorithms Data Structures
Details
Técnicas Cuantitativas y Cualitativas para la Investigación (edX) EdX
Universitat Politècnica de València,UPValenciaX

Técnicas Cuantitativas y Cualitativas para la Investigación (edX)

Statistics & Data Analysis

El curso pretende acercar al alumno al método científico y, en concreto, cómo éste se aplica al estudio y análisis de los métodos de casos. El curso que se propone es ideal para investigadores y alumnos que se encuentren cursando trabajos de fin de grado, trabajos de fin de máster o realizando tesis, así como todos aquellos del área de la administración que quieran realizar un análisis cuantitativo o cualitativo en sus estudios.

Self Paced
Self-Paced
Research Methods Data Analysis Scientific Methods
Details
Data Science: R Basics (edX) EdX
HarvardX,Harvard University

Data Science: R Basics (edX)

Statistics & Data Analysis Data Science

Build a foundation in R and learn how to wrangle, analyze, and visualize data. This course will introduce you to the basics of R programming. You can better retain R when you learn it to solve a specific problem, so you’ll use a real-world dataset about crime in the United States. You will learn the R skills needed to answer essential questions about differences in crime across the different states.

Self Paced
Self-Paced
Probability Machine Learning Inference
Details
Introduction to Linear Models and Matrix Algebra (edX) EdX
HarvardX,Harvard University

Introduction to Linear Models and Matrix Algebra (edX)

Sci: Biology & Life Sciences Statistics & Data Analysis

Learn to use R programming to apply linear models to analyze data in life sciences. Matrix Algebra underlies many of the current tools for experimental design and the analysis of high-dimensional data. In this introductory data analysis course, we will use matrix algebra to represent the linear models that commonly used to model differences between experimental units. We perform statistical inference on these differences. Throughout the course we will use the R programming language.

Self Paced
Self-Paced
Algebra Linear Algebra Matrix
Details
Analyzing Data with Excel (edX) EdX
IBM

Analyzing Data with Excel (edX)

Statistics & Data Analysis

Build the fundamental knowledge required to use Excel spreadsheets to perform basic data analysis. The course covers the basic workings and key features of Excel to help students analyze their data. This course provides students with the fundamental knowledge required to use Excel spreadsheets to perform basic data analysis.The course consists of several videos, demos, examples, and hands-on labs to help you learn, and ends with a final assignment project which will help you put what you have learned into practice.

Self Paced
Self-Paced
Data Spreadsheets Excel
Details
Basics of Statistical Inference and Modelling Using R (edX) EdX
University of Canterbury,UCx

Basics of Statistical Inference and Modelling Using R (edX)

Sci: Mathematics Statistics & Data Analysis

Learn why a statistical method works, how to implement it using R and when to apply it and where to look if the particular statistical method is not applicable in the specific situation. Basics of Statistical Inference and Modelling Using R is part one of the Statistical Analysis in R professional certificate.

Self Paced
Self-Paced
Statistics Modeling Data Analysis
Details
Essential Human Biology: Cells and Tissues (edX) EdX
University of Adelaide,AdelaideX

Essential Human Biology: Cells and Tissues (edX)

Sci: Biology & Life Sciences Medicine & Pharmacology

An introduction to the human body's most fundamental building blocks and their behaviours in health and disease. Are you preparing for a health-related career, or planning to study in the health sciences? Perhaps you're just keen to learn more about the wonders of the human body? Our bodies are amazing but complex biological machines. This course will provide you with an outstanding foundation of knowledge in human anatomy and physiology.

Self Paced
Self-Paced
Health Biology Physiology
Details
Analytics for Decision Making (edX) EdX
Babson College

Analytics for Decision Making (edX)

Management & Leadership Statistics & Data Analysis

Discover the foundational concepts that support modern data science and learn to analyze various data types and quality to make smart business decisions. Want to know how to avoid bad decisions with data? Making good decisions with data can give you a distinct competitive advantage in business. This statistics and data analysis course will help you understand the fundamental concepts of sound statistical thinking that can be applied in surprisingly wide contexts, sometimes even before there is any data! Key concepts like understanding variation, perceiving relative risk of alternative decisions, and pinpointing sources of variation will be highlighted.

Self Paced
Self-Paced
Data Analysis Decision Making Analytics
Details