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Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress
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工程学
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JoVE 杂志 工程学
Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress

Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress

DOI:
10.3791/62566-v

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05:22 min

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July 29, 2022

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, , , ,
1Université Paris-Saclay, CNRS, INRAE, Univ Evry, Institute of Plant Sciences Paris-Saclay (IPS2), Orsay, France, 2Université de Paris, CNRS, INRAE, Institute of Plant Sciences Paris Saclay (IPS2), Orsay, France, 3Université Paris-Saclay, INRAE, CNRS, AgroParisTech, GQE – Le Moulon, Gif-sur-Yvette, France, 4LSTM, Univ Montpellier, INRAE, IRD, CIRAD, Institut Agro, Montpellier, France, 5Universitté Paris-Saclay, AgroParisTech, INRAE, UMR MIA-Paris, Paris, France

Chapters

  • 00:05Introduction
  • 01:18DiCoExpress
  • 03:21Results: Differential Expression and Coexpression Analysis
  • 04:54Conclusion

Summary

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DiCoExpress is a script-based tool implemented in R to perform an RNA-Seq analysis from quality control to co-expression. DiCoExpress handles complete and unbalanced design up to 2 biological factors. This video tutorial guides the user through the different features of DiCoExpress.

Tags

RNA-seqDiCoExpressDifferential AnalysisCo-expression AnalysisGeneralized Linear ModelEnrichment AnalysisNon-specialist UserExperimental DesignQuality ControlNormalizationFalse Discovery RateDifferentially Expressed GenesGene Clusters

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