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How I analyze RNA Seq Gene Expression data using DESeq2

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Chapters
00:00 Intro
02:43 Load R libraries
03:38 Load the dataset
07:11 Set the factors
08:19 Create deseq DESeqDataSetFromMatrix() dds object and import coutn data and sample information
11:37 Filter genes
14:08 Perform statistical tests to identify differentially expressed genes (result dds)
18:34 Order the deseq_result
20:48 Make queries
24:20 Filter differentially expressed genes.
28:45 Save deseq result
31:28 Examine the output files
33:06 Visualize deseq result
33:24 Plot dispersions
35:30 PCA Plot
43:08 Heatmaps
44:11 Heatmap of sample-sample distance matrix using pheatmap
52:37 Heatmap of log transformed normalized counts using pheatmap
1:02:18 Heatmap Z-scores
1:06:51 MA Plot
01:11:37 Volcano plot using ggplot
01:16:31 Next Tutorial
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