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Bioinformatics Methods for Transcriptomics

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Bioinformatics Methods for Transcriptomics

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Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

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Assessments

8 assignments

Taught in English

There are 4 modules in this course

This course will cover bioinformatics methods for analyzing transcriptomic RNA sequencing data generated with the short read (RNA-seq) and long read (PacBio, ONT) sequencing. In its four modules, the course addresses the core transcriptomics questions: What are the genes and transcripts expressed in a given sample or condition of an experiment?, What are their expression levels?, and What are the differences in gene expression and splicing patterns between conditions? It provides hands-on instruction on how to use popular and/or emerging tools such as STAR, PsiCLASS, DESeq2, rMATS, MntJULiP, Minimap2 and IsoQuant. This is an intermediate level course, and assumes basic knowledge on using command line bioinformatics tools in a Unix-type environment.

What's included

13 videos5 readings2 assignments

13 videosβ€’Total 106 minutes
  • Course Introductionβ€’6 minutes
  • Gene expression analysis of RNA-seq dataβ€’3 minutes
  • Step 1: Downloading and Preparing the Dataβ€’9 minutes
  • Step 2: Aligning the RNA-seq readsβ€’11 minutes
  • Step 3: Assembling the Genes and Transcripts, Part 1β€’11 minutes
  • Step 3: Assembling the Genes and Transcripts, Part 2β€’11 minutes
  • Step 4: Determining the Differentially Expressed Genes, Part 1β€’3 minutes
  • Step 4: Determining the Differentially Expressed Genes, Part 2β€’11 minutes
  • Step 4: Determining the Differentially Expressed Genes, Part 3β€’6 minutes
  • Step 4: Determining the Differentially Expressed Genes, Part 4β€’10 minutes
  • Step 4: Determining the Differentially Expressed Genes, Part 5β€’13 minutes
  • Step 5: Visualizing the Data, Part 1β€’4 minutes
  • Step 5: Visualizing the Data, Part 2β€’9 minutes
5 readingsβ€’Total 45 minutes
  • Course Syllabusβ€’10 minutes
  • Virtual Environment Setupβ€’10 minutes
  • Coursera Manual and Technical Support β€’10 minutes
  • List of software packagesβ€’10 minutes
  • Forums for Module or Technical Questionsβ€’5 minutes
2 assignmentsβ€’Total 140 minutes
  • Checks for Understanding: Module 1β€’20 minutes
  • Module 1 Graded Projectβ€’120 minutes

What's included

24 videos2 assignments

24 videosβ€’Total 155 minutes
  • Introduction to alternative splicing (AS) analysis, Part 1β€’9 minutes
  • Introduction to alternative splicing (AS) analysis, Part 2β€’4 minutes
  • Introduction to alternative splicing (AS) analysis, Part 3β€’2 minutes
  • Step 1: Preparing the input data β€’2 minutes
  • Step 2: Isoform-level analysis with Cuffdiff2β€’11 minutes
  • Step 3: Event-level analysis with rMATS, Part 1β€’10 minutes
  • Step 3: Event-level analysis with rMATS, Part 2β€’3 minutes
  • Step 3: Event-level analysis with rMATS, Part 3β€’8 minutes
  • Step 4A: Intron-level analysis with MntJULiP, Part 1 β€’10 minutes
  • Step 4A: Intron-level analysis with MntJULiP, Part 2β€’8 minutes
  • Step 4A: Intron-level analysis with MntJULiP, Part 3β€’5 minutes
  • Step 4A: Intron-level analysis with MntJULiP, Part 4β€’7 minutes
  • Step 4B: Intron-level analysis with MntJULiP IIβ€’8 minutes
  • Step 5A: Intron retention analysis with IRFinder, Part 1β€’5 minutes
  • Step 5A: Intron retention analysis with IRFinder, Part 2β€’2 minutes
  • Step 5A: Intron retention analysis with IRFinder, Part 3β€’9 minutes
  • Step 5B: Intron retention analysis with IRFinder II, Part 1β€’8 minutes
  • Step 5B: Intron retention analysis with IRFinder II, Part 2β€’5 minutes
  • Step 6A: AS visualization with IGV and Jutils I, Part 1β€’5 minutes
  • Step 6A: AS visualization with IGV and Jutils I, Part 2β€’7 minutes
  • Step 6B: AS visualization with Jutils II, Part 1β€’9 minutes
  • Step 6B: AS visualization with Jutils II, Part 2 β€’5 minutes
  • Step 6B: AS visualization with Jutils II, Part 3β€’7 minutes
  • Step 6B: AS visualization with Jutils II, Part 4β€’6 minutes
2 assignmentsβ€’Total 140 minutes
  • Checks for Understanding: Module 2β€’20 minutes
  • Module 2 Graded Projectβ€’120 minutes

What's included

14 videos2 assignments

14 videosβ€’Total 105 minutes
  • Introduction to transcriptomics with long RNA sequencing readsβ€’6 minutes
  • Preparing the input sequence dataβ€’5 minutes
  • Aligning the long RNA sequencing reads, Part 1β€’9 minutes
  • Aligning the long RNA sequencing reads, Part 2β€’6 minutes
  • Building transcript models with FLAIR (align)β€’10 minutes
  • Building transcript models with FLAIRβ€’8 minutes
  • Building transcript models with FLAIR (collapse), Part 1β€’7 minutes
  • Building transcript models with FLAIR (collapse), Part 2β€’11 minutes
  • Building transcript models with FLAIR (quantify) β€’6 minutes
  • Building transcript models with IsoQuant, Part 1β€’10 minutes
  • Building transcript models with IsoQuant, Part 2β€’5 minutes
  • Building transcript models with IsoQuant, Part 3β€’9 minutes
  • Visualizing transcript data with the IGV, Part 1β€’4 minutes
  • Visualizing transcript data with the IGV, Part 2β€’10 minutes
2 assignmentsβ€’Total 140 minutes
  • Checks for Understanding: Module 3β€’20 minutes
  • Module 3 Graded Projectβ€’120 minutes

What's included

15 videos2 assignments

15 videosβ€’Total 108 minutes
  • Introduction to differential expression and splicing analysis with long read RNA sequencingβ€’8 minutes
  • Preparing the data - a reviewβ€’4 minutes
  • Differential gene and transcript expression (DESeq2), Part 1β€’12 minutes
  • Differential gene and transcript expression (DESeq2), Part 2β€’9 minutes
  • Differential splicing detection with short read tools (FLAIR drimSeq and DESeq2), Part 1β€’11 minutes
  • Differential splicing detection with short read tools (FLAIR drimSeq and DESeq2), Part 2β€’9 minutes
  • Differential splicing detection with short read tools (FLAIR diffSplice), Part 1β€’4 minutes
  • Differential splicing detection with short read tools (FLAIR diffSplice), Part 2β€’8 minutes
  • Differential splicing detection with short read tools (FLAIR diffSplice), Part 3β€’4 minutes
  • Differential splicing detection with long read tools (1) (LIQA), Part 1β€’7 minutes
  • Differential splicing detection with long read tools (1) (LIQA), Part 2β€’11 minutes
  • Differential splicing detection with long read tools (2) (LIQA), Part 1β€’5 minutes
  • Differential splicing detection with long read tools (2) (LIQA), Part 2β€’9 minutes
  • Differential splicing detection with long read tools (2) (LIQA), Part 3β€’6 minutes
  • Closingβ€’0 minutes
2 assignmentsβ€’Total 140 minutes
  • Checks for Understanding: Module 4β€’20 minutes
  • Module 4 Graded Projectβ€’120 minutes

Instructor

Johns Hopkins University
2 Coursesβ€’37,076 learners

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