Improving Structural Variation Detection Accuracy in Repetitive Regions Using Hybrid Algorithms and SFS Signatures
SVDSS combines ideas from traditional mapping-based and assembly-based SV detection algorithms with the novel mapping-free Substring-free Sample-specific Strings (SFS) framework to achieve a 15% recall improvement over state-of-the-art methods in detecting SVs in repetitive regions of the genome.
