Part of the Computational Skills for Informatics seminar series. Guest speaker Matthew Schipma of the Next Generation Sequencing Core will lead a discussion on RNA-Seq techniques and best practices.

Description

Next generation sequencing has made it possible to sequence the entire transcriptome of a cell or tissue type.  This allows researchers to evaluate the expression of each gene in the genome, including specific isoforms.  RNA-seq also has the potential to identify novel splice variants and even novel genes.  The ability to gain useful information from an RNA-seq project depends of several experimental factors including the number of replicates and the sequencing depth.  Here we will discuss the best practices in designing an RNA-seq experiment as well as the information that can be obtained through RNA-seq.

There are no Transcriptome Analysis with RNA-Seq classes scheduled at this time.