When you enroll in this course, you'll also be enrolled in this Specialization.
Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate
There are 4 modules in 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.
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.
What's included
16 videos3 readings1 assignment
Show info about module content
16 videos•Total 126 minutes
Installing R on Windows •3 minutes
Installing R on A Mac •2 minutes
Installing R Studio on a Mac •2 minutes
What is Bioconductor•7 minutes
Installing Bioconductor•4 minutes
The Bioconductor Website•10 minutes
Useful Online Resources•5 minutes
R Base Types•18 minutes
GRanges - Overview•5 minutes
IRanges - Basic Usage•12 minutes
GenomicRanges - GRanges•9 minutes
GenomicRanges - Basic GRanges Usage•8 minutes
GenomicRanges - seqinfo•6 minutes
AnnotationHub•8 minutes
Usecase: AnnotationHub and GRanges, part 1•13 minutes
Usecase: AnnotationHub and GRanges, part 2•14 minutes
3 readings•Total 30 minutes
Welcome•10 minutes
Syllabus•10 minutes
Pre Course Survey•10 minutes
1 assignment•Total 30 minutes
Quiz 1•30 minutes
Week Two
Module 2•2 hours to complete
Module details
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.
What's included
8 videos1 assignment
Show info about module content
8 videos•Total 81 minutes
Biostrings•7 minutes
BSgenome•7 minutes
Biostrings - Matching•6 minutes
BSgenome - Views•9 minutes
GenomicRanges - Rle•12 minutes
GenomicRanges - Lists•6 minutes
GenomicFeatures•19 minutes
rtracklayer - Data Import•15 minutes
1 assignment•Total 30 minutes
Quiz 2•30 minutes
Week Three
Module 3•2 hours to complete
Module details
In this week we will cover Basic Data Types, ExpressionSet, biomaRt, and R S4.
What's included
9 videos1 assignment
Show info about module content
9 videos•Total 79 minutes
Basic Data Types•5 minutes
Annotation Overview•5 minutes
ExpressionSet Overview•4 minutes
ExpressionSet•10 minutes
SummarizedExperiment•8 minutes
GEOquery•7 minutes
biomaRt•14 minutes
R S4 Classes•17 minutes
R S4 Methods•10 minutes
1 assignment•Total 30 minutes
Quiz 3•30 minutes
Week Four
Module 4•2 hours to complete
Module details
In this week, we will cover Getting data in Bioconductor, Rsamtools, oligo, limma, and minfi
What's included
7 videos1 reading1 assignment
Show info about module content
7 videos•Total 81 minutes
Getting data into Bioconductor•7 minutes
Short Read•4 minutes
Rsamtools•13 minutes
oligo•14 minutes
limma•17 minutes
minfi•11 minutes
Count-based RNA-seq analysis•16 minutes
1 reading•Total 10 minutes
Post Course Survey•10 minutes
1 assignment•Total 30 minutes
Quiz 4•30 minutes
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor
Instructor ratings
Instructor ratings
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
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.
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Learner reviews
3.8
386 reviews
5 stars
42.22%
4 stars
24.61%
3 stars
15.54%
2 stars
9.32%
1 star
8.29%
Showing 3 of 386
S
SS
4·
Reviewed on Sep 3, 2016
A nice course to introduce Bioconductor to students
Q
QZ
4·
Reviewed on May 20, 2018
It's very helpful in learning genomic data science. I think it's a little difficult in the beginning. The instructor have some accent, which made me even harder to get into it.
M
MA
5·
Reviewed on Mar 11, 2016
Excellent introduction to Bioconductor. Thanks to the team. However, absence of inputs from TA or Instructor was felt in the discussion.
When will I have access to the lectures and assignments?
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.