The throughput of DNA sequencing has progressed over recent years from a few thousand to several million bases per day. Coincident with this, technologies for the measurement of gene expression levels have undergone a similar transformation to highly parallel, high throughput approaches. The field of genomics is, to a large extent, built on the raw data provided by these two technologies. In this talk, I will describe how we are integrating sequence and expression data towards the goal of identifying new targets for cancer therapy. In addition, I will describe experiments using microarrays to empirically validate the results of automated genome annotation.
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