Selecting the optimal RNA-Seq workflow for your experiment is dependent on many factors, including sample quality, input amount and the transcripts of interest. RNA-Seq workflows that are currently supported can be grouped into three main categories:
Whole transcriptome sequencing
Whole transcriptome sequencing involves the measurement of the complete complement of transcripts in a sample, at a given time. Through interrogation of the whole transcriptome, researchers are able to determine global expression levels of each transcript (both coding and non-coding) and identify exons, introns and their junctions.
Find out more about the following RNA-Seq applications:
Sequencing of mRNA transcripts opens the door to identifying the molecular basis of phenotypic differences between biological or experimental conditions. Gene expression analysis provides valuable insights beyond the static information of a genome sequence by allowing researchers to detect and quantify the expression levels of multiple coding transcripts.