Application Note: Gene Expression Profiling using Ion Semiconductor Sequencing
28 May 2013

Next-generation sequencing has transformed gene expression profiling and transcriptome studies. While other methods rely on a priori knowledge for design of hybridization probes or qPCR primers, RNA-Seq enables hypothesis-free analysis of any RNA molecule captured in a sequencing library. In addition to measuring counts of transcripts for differential expression levels, RNA-Seq also allows the detection of sequence-specific information, including transcript start and stop points, SNVs, and RNA editing events. Other advantages include improved sensitivity, dynamic range, and ability to assess expression levels of fusion transcripts and variants.