Monthly Archives: May 2016

Discovering and understanding oncogenic gene fusions through data intensive computational approaches.

Although gene fusions have been recognized as important drivers of cancer for decades, our understanding of the prevalence and function of gene fusions has been revolutionized by the rise of next-generation sequencing, advances in bioinformatics theory and an increasing capacity … Continue reading

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