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Eija Korpelainen, Jarno Tuimala, Panu Somervuo, Mikael Huss, Garry Wong
RNA 
sequencing (RNA-seq) data offers unprecedented information about the 
transcriptome, but harnessing this information with bioinformatics tools
 is typically a bottleneck. 
RNA-seq Data Analysis: A Practical Approach
 enables researchers to examine differential expression at gene, exon, 
and transcript levels and to discover novel genes, transcripts, and 
whole transcriptomes.