Course Summary
Learn how to use Bioconductor, a powerful open-source software for analyzing and visualizing genomic data.Key Learning Points
- Understand the basics of Bioconductor and its key functions
- Learn how to use Bioconductor for data analysis and visualization
- Get hands-on experience with real-world genomics datasets
Job Positions & Salaries of people who have taken this course might have
- USA: $77,000
- India: ₹6,00,000
- Spain: €36,000
- USA: $77,000
- India: ₹6,00,000
- Spain: €36,000
- USA: $113,000
- India: ₹14,00,000
- Spain: €45,000
- USA: $77,000
- India: ₹6,00,000
- Spain: €36,000
- USA: $113,000
- India: ₹14,00,000
- Spain: €45,000
- USA: $81,000
- India: ₹6,50,000
- Spain: €36,000
Related Topics for further study
Learning Outcomes
- Understand the basics of Bioconductor and its key functions
- Learn how to use Bioconductor for data analysis and visualization
- Gain hands-on experience with real-world genomics datasets
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of genomics and genetics
- Familiarity with R programming
Course Difficulty Level
IntermediateCourse Format
- Self-paced
- Online
- Video lectures
Similar Courses
- Introduction to Genomic Data Science
- Applied Bioinformatics
Related Education Paths
Related Books
Description
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.
Outline
- Week One
- Installing R on Windows
- Installing R on A Mac
- Installing R Studio on a Mac
- What is Bioconductor
- Installing Bioconductor
- The Bioconductor Website
- Useful Online Resources
- R Base Types
- GRanges - Overview
- IRanges - Basic Usage
- GenomicRanges - GRanges
- GenomicRanges - Basic GRanges Usage
- GenomicRanges - seqinfo
- AnnotationHub
- Usecase: AnnotationHub and GRanges, part 1
- Usecase: AnnotationHub and GRanges, part 2
- Welcome
- Syllabus
- Pre Course Survey
- Quiz 1
- Week Two
- Biostrings
- BSgenome
- Biostrings - Matching
- BSgenome - Views
- GenomicRanges - Rle
- GenomicRanges - Lists
- GenomicFeatures
- rtracklayer - Data Import
- Quiz 2
- Week Three
- Basic Data Types
- Annotation Overview
- ExpressionSet Overview
- ExpressionSet
- SummarizedExperiment
- GEOquery
- biomaRt
- R S4 Classes
- R S4 Methods
- Quiz 3
- Week Four
- Getting data into Bioconductor
- Short Read
- Rsamtools
- oligo
- limma
- minfi
- Count-based RNA-seq analysis
- Post Course Survey
- Quiz 4
Summary of User Reviews
The Bioconductor course on Coursera has received high praise from users. Many have found it to be a comprehensive and engaging introduction to the Bioconductor software. One key aspect that many users have appreciated is the hands-on nature of the course, which allows them to apply what they've learned in a practical way.Pros from User Reviews
- Comprehensive coverage of Bioconductor software
- Engaging and well-structured curriculum
- Hands-on approach allows for practical application of concepts
- Expert instructors with deep knowledge of Bioconductor
- Active community support and interaction
Cons from User Reviews
- Some users found the course to be too technical or advanced for beginners
- Limited focus on certain aspects of Bioconductor
- Occasional technical issues with the course platform
- Lack of personalized support or feedback from instructors
- Relatively high cost compared to other online courses
Kasper Daniel Hansen, PhD
3.9 Raiting
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