Answers.Body: <p>It will not do any harm other than a reduction in statistical power compared to more samples per group. Common analysis tools such as DESeq2, edgeR and limma will work on unequal sample size just fine.</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2023-03-01T17:48:53.430Z
Answers.LastActivityDate: 2023-03-01T17:48:53.430Z
Answers.UserDisplayName: ATpoint
Body: <p>I have 3 groups for the RNA-seq analysis (Control, treatment A and treatment B). There are 2 replicates for control and treatment A and 3 replicates for treatment B (lost 2 replicates due to a mistake in sample handling). May I ask how will the inconsistent replicate numbers impact the results (e.g. DEGs)?</p>
  
Tags: <rna-seq><genomics><differential-expression><gene-expression>
Title: Inconsistent replicate numbers in RNA-seq
ThreadText: # Inconsistent replicate numbers in RNA-seq
  
  (Asked by: username_0 on 2023-03-01)
  
  I have 3 groups for the RNA-seq analysis (Control, treatment A and treatment B). There are 2 replicates for control and treatment A and 3 replicates for treatment B (lost 2 replicates due to a mistake in sample handling). May I ask how will the inconsistent replicate numbers impact the results (e.g. DEGs)?
  
  **Tags:** rna-seq, genomics, differential-expression, gene-expression
  
  
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  ## 1 answers
  
  ### Answer by username_1 on 2023-03-01. Score: 2
  
  It will not do any harm other than a reduction in statistical power compared to more samples per group. Common analysis tools such as DESeq2, edgeR and limma will work on unequal sample size just fine.
  
  
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