Comparisons of performances of structural variants detection algorithms in solitary or combination strategy.

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Title: Comparisons of performances of structural variants detection algorithms in solitary or combination strategy.
Authors: Duan DM; Graduate Institute of Medical Genomics and Proteomics, College of Medicine, National Taiwan University, Taipei, Taiwan.; Division of Cardiology, Department of Internal Medicine and The Cardiovascular Medical Center, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Taipei, Taiwan., Cheng C; Graduate Institute of Medical Genomics and Proteomics, College of Medicine, National Taiwan University, Taipei, Taiwan., Huang YS; Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan., Chung AK; Department of Internal Medicine, National Taiwan University College of Medicine, Taipei, Taiwan., Chen PX; Graduate Institute of Medical Genomics and Proteomics, College of Medicine, National Taiwan University, Taipei, Taiwan., Chen YA; Graduate Institute of Medical Genomics and Proteomics, College of Medicine, National Taiwan University, Taipei, Taiwan., Hsu JS; Graduate Institute of Medical Genomics and Proteomics, College of Medicine, National Taiwan University, Taipei, Taiwan.; Genome and Systems Biology Degree Program, Academia Sinica and National Taiwan University, Taipei, Taiwan., Chen PL; Graduate Institute of Medical Genomics and Proteomics, College of Medicine, National Taiwan University, Taipei, Taiwan.; Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan.; Genome and Systems Biology Degree Program, Academia Sinica and National Taiwan University, Taipei, Taiwan.; Division of Endocrinology and Metabolism, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
Source: PloS one [PLoS One] 2025 Feb 06; Vol. 20 (2), pp. e0314982. Date of Electronic Publication: 2025 Feb 06 (Print Publication: 2025).
Publication Type: Journal Article; Comparative Study
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0314982