Exploring 33 Lockdown Learning Bioinformatics Along Differentially Expressed Genes
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- Countdown: 0:00 Introduction: 4:31 Heatmaps: 11:38 GO enrichment: 21:54 Fold Change Comparison: 46:50 Lesson #40 finishes ...
- A walk-through of steps to perform
- In lesson 13 we will edit the script we wrote in #11 to run the muscle multiple sequence aligner which we installed with Conda in ...
- Countdown: 0:00 Introduction: 2:22 PCA: 5:54 Results: 24:23 Filtering: 32:00 Plotting: 38:25 Annotation: 50:39 Lesson #39 ...
- In lesson #22 we start to
In-Depth Information on 33 Lockdown Learning Bioinformatics Along Differentially Expressed Genes
Countdown: 0:00 Introduction: 2:36 DataFrame vs data.frame: 8:06 DESeq2 filtering: 12:00 On log2 fold change: 28:38 Other ... Countdown: 0:00 Introduction: 4:50 Normalisation recap: 10:19 Dispersion: 20:45 Wild improvisation: 30:05 Estimate dispersions: ... Countdown: 0:00 Introduction: 5:17 BioMart Web Site: 15:09 BioMart in R: 23:47 Joining data: 1:00:23 In lesson #35 we retrieve ... Countdown: 0:00 Introduction: 4:59 Writing to a file: 12:00 Reading into Excel: 15:07 Starting A549 Analysis: 28:40 Restarting ...
In lesson #26 we take a look at the detail of the violin plot we created yesterday, and talk about the principles behind ggplot2 - the ...
That wraps up our extensive overview of 33 Lockdown Learning Bioinformatics Along Differentially Expressed Genes.
