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DESeq2 Basics Explained | Differential Gene Expression Analysis | Bioinformatics 101
25:32
YouTubeBioinformagician
DESeq2 Basics Explained | Differential Gene Expression Analysis | Bioinformatics 101
A basic task in the analysis of count data from RNA-seq is the detection of differentially expressed genes. DESeq2 is one of the most commonly used packages to perform differential gene expression analysis in R. In this video, I have tried to explained the DESeq2 model and provide some intuition on what goes behind this package and the steps ...
107K viewsJan 22, 2022
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Galaxy Tutorial on How to analyze RNA Seq Gene Expression data using DESeq2
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#DESeq2 Differential Expression Analysis
Trzy metody analizy różnicowej ekspresji do sekwencjonowania RNA: limma, EdgeR, DESeq2
Trzy metody analizy różnicowej ekspresji do sekwencjonowania RNA: limma, EdgeR, DESeq2
jove.comSep 18, 2021
Video: Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2
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