deStruct: Accurate Rearrangement Detection using Breakpoint Specific Realignment

Abstract

We propose that a breakpoint specific alignment procedure would improve breakpoint prediction. Our method, deStruct, uses multiple stages of realignment and clustering to progressively refine breakpoint prediction quality and accuracy. We show using simulated data that deStruct predicts breakpoints with higher sensitivity and specificity than existing breakpoint prediction tools.