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Level 6: Analyze RNAseq data

Computational Genomics Lab

Intro to Computational Genomics Lab : Level 6

Students perform detailed analysis to extract meaningful scientific conclusions from RNA-seq experiments. This level emphasizes critical thinking and data interpretation.

Download Pipeline output files HERE

Click here to watch the full video

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What Former Students Are Saying

Dr. Rinn is not only an incredible scientist but a great instructor, and I have learned a lot from his class.

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100000000000000/10 class! I never thought I would understand coding at all, but now I do!

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Love professor Rinn and his class, really enjoyed the flow of the class and I felt like the format really worked well.

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This class was amazing!

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Cool course, dope professor!

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This class was awesome. There was a huge emphasis on real world experience, and I really liked this aspect of the course. I wish there were a bit more guidance on the projects, but other than that I don't have any real complaints. Using a supercomputer was awesome and even helped me market myself for a job. Thank you for a great semester and I will be telling everyone to take this class!

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Level 6: Analyze RNAseq data

Time for DESEQ RNAseq Analysis!

Let's explore the DESEQ results files!

Let's now explore and analyze all our results!

Extract all DESEQ results using a for-loop.

Let's analyze our RNAseq data in TPM (transcripts per million).

One script to run all the RNAseq Analyses