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Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts
Published on: July 25, 2020
CORE: A Software Tool for Delineating Regions of Recurrent DNA Copy Number Alteration in Cancer
Guoli Sun1, Alexander Krasnitz2
1Intuit Inc., Mountain View, CA, USA.
Abstract:
Collections of genomic intervals are a common data type across many areas of computational biology. In cancer genomics, in particular, the intervals often represent regions with altered DNA copy number, and their collections exhibit recurrent features, characteristic of a given cancer type. Cores of Recurrent Events (CORE) is a versatile computational tool for identification of such recurrent features. Here we provide practical guidance for the use of CORE, implemented as an eponymous R package.
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