New methods for understanding the complexity of cancer genomes
Recent advances in next-generation sequencing (NGS) technologies have provided us with an unprecedented opportunity to better characterize the molecular signatures of human cancers. One hallmark of cancer genomes is aneuploidy, which engenders abnormal copy numbers amongst broadly connected sets of alleles. Structural variations (SVs) further modify the aneuploid cancer genomes into a mixture of rearranged genomic segments with extensive somatic copy number alterations (CNAs). In this talk, I will introduce a new algorithm called Weaver to provide integrated quantification of SVs and CNAs in aneuploid cancer genomes. Such an integrated approach enables a greatly enhanced grasp of the complex genomic architectures inherent to many cancer genomes. Our evaluations demonstrated that Weaver is highly accurate and will greatly refine the structural analysis of complex cancer genomes.