Discovering cooperating oncogenes: by statistical analysis of Retroviral Insertional Mutagenesis Data

Jeroen de Ridder, Lodewyk Wessels, Anthony Uren, Jaap Kool, Marcel Reinders

Research output: Contribution to conferencePosterScientific

Abstract

Viruses can induce oncogenic mutations when inserted near (or within) proto-oncogenes. Cancer genes can be identified by determining the loci of viral
insertions from tumors induced by retroviruses. Most often, multiple co-occurring mutations are needed for a cell to develop into a tumor. We propose a 2D Gaussian Kernel Convolution method to discover the cooperating oncogenes from publicly available retroviral insertional mutagenesis data.
Original languageEnglish
Number of pages1
Publication statusPublished - 2006

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