Tutorial Details: RNA-Seq for Transcriptome Profiling
|Date:||Tuesday, October 12, 2010, 01:00 pm - 03:00 pm|
|Instructor(s):||Wayne Xu, MSI|
RNA-Seq refers to the use of high-throughput sequencing technologies to sequence cDNA in order to get information about a sample’s RNA content. This information can then be used in gene expression profiling.
This technology is complementary to using microarrays for gene expression profiling. It is more potent because it directly counts mRNA sequence reads for the gene expression level measurement, while microarrays infer the gene expression level by probe hybridization signals. However, there are still challenges in using RNA-Seq, such as technique variations, data normalization, and fold-change interpretation.
This tutorial will discuss next-generation sequencing for RNA-Seq, software for RNA-Seq, and challenges in data analysis. We will use Illumina sample data to demonstrate sequence alignment, read counting, normalization, and the statistic test for gene differential expression analysis.
|Prerequisites:||Basic knowledge of genomics|