Article
Structural Variant Breakpoint Detection with novoBreak.
Methods in molecular biology (Clifton, N.J.) - 1 Jan 2018
Chong Zechen, Chen Ken
Abstract excerpt
Structural variations (SVs) are an important type of genomic variants and always play a critical role for cancer development and progression. In the cancer genomics era, detecting structural variations from short sequencing data is still challenging. We developed a novel algorithm, novoBreak (Chong et al. Nat Methods 14:65-67, 2017), which achieved the highest balanced accuracy (mean of sensitivity and precision)...
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