אירועים והרצאות בפקולטה למדעי המחשב ע"ש הנרי ומרילין טאוב

Digital Gene Expression (DGE) profiling by next-generation sequencing (NGS) technologies has the potential of becoming the leading method for quantitative analysis of complete transcriptomes. While similar approaches have been implemented in the past by methods such as SAGE, one of the key advantages of NGS technologies is an extremely high throughput which enables accurate quantification over a wide dynamic range of transcript abundances, as well as relatively low sample preparation bias.

In this talk I will describe the molecular and computational aspects of a single-molecule sequencing based approach to DGE and its application to model yeast and human transcriptomes. In following studies, the ability of this method to exhaustively characterize the transcriptome has led to the discovery of a novel type of gene-termini-associated small RNA as well as a potential new bio-marker for early detection of pancreatic cancer.

Host: Dr. Zohar Yakhini.