RNA Seq vs HTA microarray
 

Sequencing
Tissu
e Mixture Li

  • RNA-Seq experiments of 10M reads provides gene-level detection of strongly expressed genes
  • >90M reads are recommended to detect fold change differences for high expressers
  • Detection of alternative splicing events is challenging due to sampling noise, requiring nearly 500M reads (with 80% confidence)
  • RNA-seq is not digital and does not give absolute gene expression measurements
  • Microarrays and RNA-Seq demonstrate excellent concordance and should be combined for efficient transcript-level profiling. 

 

near Fit Model Exon-level

公告日:2017/03/03





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