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.
This course is part of the Genomic Data Science Specialization
17,053 already enrolled
Offered By
Genomic Data Science SpecializationJohns Hopkins UniversityAbout this Course
10,301 recent views
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 6 of 8 in the
Approx. 9 hours to complete
English
Subtitles: French, Portuguese (European), Russian, English, Spanish
Skills you will gain
BioinformaticsBioconductorGenomicsR Programming
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 6 of 8 in the
Approx. 9 hours to complete
English
Subtitles: French, Portuguese (European), Russian, English, Spanish
Offered by
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.
Syllabus - What you will learn from this course
3 hours to complete
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.
3 hours to complete
16 videos (Total 126 min), 3 readings, 1 quiz
2 hours to complete
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.
2 hours to complete
8 videos (Total 81 min)
2 hours to complete
Week Three
In this week we will cover Basic Data Types, ExpressionSet, biomaRt, and R S4.
2 hours to complete
9 videos (Total 79 min)
2 hours to complete
Week Four
In this week, we will cover Getting data in Bioconductor, Rsamtools, oligo, limma, and minfi
2 hours to complete
7 videos (Total 81 min), 1 reading, 1 quiz
Reviews
TOP REVIEWS FROM BIOCONDUCTOR FOR GENOMIC DATA SCIENCE
by ATJan 29, 2016
Four stars because the content is good. Not five stars because the english is not so good and for a non-english expert it can be difficult to understand, and the subtitle contains quite often errors.
by JKAug 30, 2016
I think it is a good class overall but the pace is fast and the resources that can help you is lacking. This will be good for someone who already kind of understands bioconductor.
by GKAug 27, 2019
Before you can run, you must learn to walk. Kasper's well paced tutorials will give you confidence using the tools you need for genomic study.
by MAMar 11, 2016
Excellent introduction to Bioconductor. Thanks to the team. However, absence of inputs from TA or Instructor was felt in the discussion.
About the Genomic Data Science Specialization
With genomics sparks a revolution in medical discoveries, it becomes imperative to be able to better understand the genome, and be able to leverage the data and information from genomic datasets. Genomic Data Science is the field that applies statistics and data science to the genome.
Frequently Asked Questions
When will I have access to the lectures and assignments?
What will I get if I subscribe to this Specialization?
Is financial aid available?
Will I earn university credit for completing the Course?
More questions? Visit the Learner Help Center.
