About this course: Learn to use tools from the Bioconductor project to perform analysis of genomic data. This is the fifth course in the Genomic Big Data Specialization from Johns Hopkins University.
Created by: Johns Hopkins University
Taught by: Kasper Daniel Hansen, PhD, Assistant Professor, Biostatistics and Genetic Medicine
Bloomberg School of Public Health
| Basic Info |
Course 6 of 8 in the
Genomic Data Science Specialization.
|
| Language | English |
| How To Pass | Pass all graded assignments to complete the course. |
| User Ratings |
Syllabus
WEEK 1
Week One
The class will cover how to install and use Bioconductor software. We will discuss common data structures, including ExpressionSets, SummarizedExperiment and GRanges used across several types of analyses.
16 videos, 3 readings
Graded: Quiz 1
WEEK 2
Week Two
In this week we will learn how to represent and compute on biological sequences, both at the whole-genome level and at the level of millions of short reads.
8 videos
Graded: Quiz 2
WEEK 3
Week Three
In this week we will cover Basic Data Types, ExpressionSet, biomaRt, and R S4.
9 videos
Graded: Quiz 3
WEEK 4
Week Four
In this week, we will cover Getting data in Bioconductor, Rsamtools, oligo, limma, and minfi
7 videos, 1 reading
Graded: Quiz 4
FAQs
How It Works
Coursework
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
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Creators
Johns Hopkins University
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
Pricing
| Audit | Purchase Course | |
|---|---|---|
| Access to course materials | Available | Available |
| Access to graded materials | Not available | Available |
| Receive a final grade | Not available | Available |
| Earn a shareable Course Certificate | Not available | Available |
Ratings and Reviews
It is a good start for people who study epigenomics!
The course is hard and needs previous knowledge of R. The time for for doing the "quizes" are not long. On the other hand, the questions resemble real world bioinformatics problems. The real inconvenience with this course is that the Forum does not work. Because not all that is questioned in the "quizes" are thought in the classes. So a help from the Forum is a real need for this course to work smoothly.
The course is tough and needs lots of practice and time to handle the stuff explained in this course. In my opinion the stuff should be split into 2 courses (partA and partB) with detailed explanation of every covered topic.
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MD
Lots of good data. Really a walk through of coding without too much theory. Would prefer a little more theory. Would have helped in completing the course and capstone. Ended up having to take Eric Lander Intro to Bio course on edx to really understand what I had done. In particular, a better explanation of what is going on at a basic with methylation marks and how the Epigenome Map was constructed.