Join us this Wednesday (October 21, 2009 10:00 am Pacific Daylight Time) to learn about how GeneSifter is used to measure transcript abundance as well as discover novel transcripts and isoforms of expressed genes in cancer.
Current gene expression technologies such as Microarrays and Next Generation Sequencing applications allow biomedical researchers to examine the expression of tens of thousands of genes at once, giving researchers the opportunity to examine expression for an entire genome, where previously they could only look at a handful of genes at one time.
In addition, NGS applications such as Tag Profiling and Whole Transcriptome Analysis can identify novel transcripts and characterize both known and novel splice junctions. These applications allow characterization of the cancer transcriptome at an unprecedented level.
This presentation will provide an overview of the gene expression data analysis process for these applications with an emphasis on identification of differentially expressed genes, identification of novel transcripts and characterization of alternative splicing. Using data drawn from the GEO data repository and the Short Read Archive gene expression in Melanoma will be examined using Microarrays, NGS Tag Profiling and NGS Whole Transcriptome Analysis data.