Module99_Wrap_up.md

Wrapping up RNA-Seq Demystified

In summary

We hope you now have more familiarity with key concepts, data types, tools, and how they all connect to enable gene expression analysis from bulk RNA-Seq data.

• Day 1: UNIX, sequence file types, QC, process of producing a count table

• Day 2: R, DESeq2, QC visualizations, process of differential expression analysis

• Training resources/workshops

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Housekeeping

• Course contents will be available.

  • Course lessons
  • Shared Google Doc

• Linux/Unix workshop compute environment (at Amazon) will be available until Friday.

• We will email you a link to the session recordings by next week.

• Please take our optional post-workshop survey (5-10 minutes)
  https://forms.gle/mrx9L4xhoSpXCZfXA

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Thanks

• Thanks to our sponsors:

• Thanks to instructors and helpers.

• Thank you!

  • Learning bioinformatic analyses more like a process than a task
  • We welcome your questions and feedback.
    • bioinformatics-workshops@umich.edu
    • Chris Gates cgates@umich.edu
    • Marci Brandenburg mbradenb@umich.edu
    • Travis Saari trsaari@umich.edu
    • Dana King damki@umich.edu