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Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2
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Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2

DOI:
10.3791/62528-v

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10:10 min

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September 18, 2021

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, , , , ,
1Department of Obstetrics and Gynecology,Renmin Hospital of Wuhan University, 2Department of Pathology, Shanghai Skin Disease Hospital,Tongji University School of Medicine

Capítulos

  • 00:08Introduction
  • 01:54I. Download and preprocess the data
  • 05:12II. RNA‐seq differential expression analysis through “limma”
  • 08:53III. RNA‐seq differential expression analysis through “edgeR”
  • 11:34IV. RNA‐seq differential expression analysis through “DESeq2”
  • 13:51V. Venn diagram
  • 14:36Conclusion

Summary

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A detailed protocol of differential expression analysis methods for RNA sequencing was provided: limma, EdgeR, DESeq2.

Tags

Keywords: RNA SequencingDifferential Expression AnalysisLimmaEdgeRDESeq2CholangiocarcinomaCancerGene ExpressionEnsemble Gene IDGene SymbolLow-expressed GenesDesign MatrixDGEListNormalizationLinear ModelT-statisticF-statisticLog-oddsLog2 Fold ChangeFDR

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