RNA-Seq

RNA-Seq

RNA-Seq is an high throughput sequencing method commonly used to assess gene expression.

Keywords

Alignment, Annotation, BAM, De-novo-transcriptome-assembly, Differential-expression, Exploratory-analysis, Expression-estimation, FASTA, FASTQ, Feature-summarisation, Pre-processing, QC, Statistical-model

Global learning objectives

  • Performing RNA-Seq analysis
  • Being able to choose an appropriate strategy {Advanced}
  • Recognizing the challenges and pitfalls
  • Recognizing issues with the data
  • Troubleshooting issues with the data {Advanced}
  • Recognizing the importance of experimental designs

Modules

Every module has had an Essential/Optional state assigned by the consortium.
Essential conveys the opinion that these modules should always be adressed in
any course/workshop about RNA-Seq, i.e. they are the minimal set of modules
that a trainee has to learn about. The optional modules on the other hand may
be addressed depending on the workshop/course program/duration.

Preprocessing (Essential)

  • Applying QC software and interpreting the output
  • Deciding/performing necessary preprocessing steps

Alignment (Essential)

  • Producing alignment
  • Differentiate genome and trancriptome alignment
  • Selecting the appropriate tool
  • Recognizing the challenges and pitfalls
  • Interpreting the aligners output

Alignment QC (Essential)

  • Applying QC software and interpreting the output
  • Deciding/performing necessary filtering steps

Feature summarization (Essential)

  • Producing a table of counts
  • Identifying proper strategy for the biological question
  • Interpreting output

Feature summarization QC (Essential)

  • Applying QC software and interpreting the output
  • Deciding/performing necessary QC steps

Differential expression (Optional)

  • Choosing an appropriate strategy
  • Performing DE analysis
  • Interpreting the output
  • Recognizing the need for normalization

Exploratory analysis (Optional)

  • Being able to visualise alignments
  • Identifying confounding effects and taking necessary action

De-novo transcriptome assembly (Optional)

  • Performing the analysis
  • Recognizing the challenges and pitfalls
  • Interpreting the assemblers output


Activity log