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Structural variation (SV), such as deletion, is an important type of genetic variation and may be associated with diseases. While there are many existing methods for detecting SVs, finding deletions is still challenging with low-coverage short sequence reads. Existing deletion finding methods for sequence reads either use the so-called split reads mapping for detecting deletions with exact breakpoints, or rely on discordant insert sizes to estimate approximate positions of deletions. Neither is completely satisfactory with low-coverage sequence reads.

SVseq: an approach for detecting exact breakpoints of deletions with low-coverage sequence data