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Bioconductor for Genomic Data Science
  • Level Foundation
  • المدة 9 ساعات hours
  • الطبع بواسطة Johns Hopkins University
  • Offered by

عن

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.

الوحدات

Welcome

    • 3 Readings
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3 Readings

  • Welcome
  • Syllabus
  • Pre Course Survey

R and RStudio Installation (Optional Viewing)

    • 3 Videos
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3 Videos

  • Installing R on Windows
  • Installing R on A Mac
  • Installing R Studio on a Mac

Week 1

    • 13 Videos
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13 Videos

  • 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

Quiz

    • 1 Assignment
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1 Assignment

  • Quiz 1

Week 2

    • 8 Videos
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8 Videos

  • Biostrings
  • BSgenome
  • Biostrings - Matching
  • BSgenome - Views
  • GenomicRanges - Rle
  • GenomicRanges - Lists
  • GenomicFeatures
  • rtracklayer - Data Import

Quiz

    • 1 Assignment
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1 Assignment

  • Quiz 2

Week 3

    • 9 Videos
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9 Videos

  • Basic Data Types
  • Annotation Overview
  • ExpressionSet Overview
  • ExpressionSet
  • SummarizedExperiment
  • GEOquery
  • biomaRt
  • R S4 Classes
  • R S4 Methods

Quiz

    • 1 Assignment
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1 Assignment

  • Quiz 3

Week 4

    • 7 Videos
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7 Videos

  • Getting data into Bioconductor
  • Short Read
  • Rsamtools
  • oligo
  • limma
  • minfi
  • Count-based RNA-seq analysis

Quiz

    • 1 Assignment
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1 Assignment

  • Quiz 4

Post Course Survey

    • 1 Readings
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1 Readings

  • Post Course Survey

Auto Summary

"Bioconductor for Genomic Data Science" focuses on utilizing Bioconductor tools for genomic data analysis. Offered by Johns Hopkins University on Coursera, this foundational course spans 540 minutes and is part of the Genomic Big Data Specialization. With both Starter and Professional subscription options, it's ideal for data science enthusiasts aiming to delve into genomic data science.

Kasper Daniel Hansen, PhD
Instructor

Kasper Daniel Hansen, PhD