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SVseq: An approach for detecting exact breakpoints of deletions with low-coverage sequence data
Jin Zhang
, Yufeng Wu
Division of Biology and Biomedical Sciences
Institute of Clinical and Translational Sciences
Siteman Cancer Center
Cancer Biology Division
Research output
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Contribution to journal
›
Article
›
peer-review
33
Scopus citations
Overview
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Dive into the research topics of 'SVseq: An approach for detecting exact breakpoints of deletions with low-coverage sequence data'. Together they form a unique fingerprint.
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Mathematics
Deletion
100%
Coverage
95%
Burrows-Wheeler Transform
22%
Genetic Variation
21%
False Positive
17%
Sequencing
16%
Filter
12%
Alternatives
8%
Estimate
6%
Chemical Compounds
Error
72%
Medicine & Life Sciences
Genetic Variation
31%