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

Online Course

Bioconductor for Genomic Data Science

Johns Hopkins University via Coursera

(4)
100
Found in Genomics, Biology
  • Provider Coursera
  • Cost Free Online Course (Audit)
  • Session Upcoming
  • Language English
  • Certificate Paid Certificate Available
  • Effort 3-5 hours a week
  • Duration 4 weeks long
  • Learn more about MOOCs

Taken this course? Share your experience with other students. Write review

Overview

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.

Syllabus

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.

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.

Week Three
- In this week we will cover Basic Data Types, ExpressionSet, biomaRt, and R S4.

Week Four
-In this week, we will cover Getting data in Bioconductor, Rsamtools, oligo, limma, and minfi

Taught by

Kasper Hansen

Tags

Help Center

Most commonly asked questions about Coursera

Reviews for Coursera's Bioconductor for Genomic Data Science Based on 4 reviews

  • 5 star 25%
  • 4 star 25%
  • 3 star 0%
  • 2 star 25%
  • 1 star 25%

Did you take this course? Share your experience with other students.

Write a review
  • 1
Brandt P
by Brandt completed this course, spending 4 hours a week on it and found the course difficulty to be medium.
The Bioconductor course is technically sixth in the Genomic Data Science specialization, although I skipped directly to this after taking the third course covering Python. The course covers a bit of basic R programming (although experience with R at the level of R Programming is almost a necessity unless you have previous programming experience and are able to pick up the language very quickly. The course then dives right in to many of the most common Bioconductor packages for genomic data analysis, including GenomicRanges, AnnotationHub, Biostrings, ExpressionSets, and others. The final week …
3 people found
this review helpful
Was this review helpful to you? Yes
Chrys C
by Chrys completed this course, spending 10 hours a week on it and found the course difficulty to be hard.
While the instructor is really good. The course is way to fast paced. For an R beginner, I highly doubt that you will have a good time. The quizzes are pretty hard and more often then not you will have problems with the Versions of R and the packages. I would not recommend this course.
Was this review helpful to you? Yes
Colin K
by Colin completed this course.
1 person found
this review helpful
Was this review helpful to you? Yes
Anonymous
Anonymous is taking this course right now.
0 person found
this review helpful
Was this review helpful to you? Yes
  • 1

Class Central

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free

Never stop learning Never Stop Learning!

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free