November 17, 2011 review Open access Characterizing complex structural variation in germline and somatic genomes Trends in Genetics DOI: 10.1016/j.tig.2011.10.002 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 109 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access SVision: a deep learning approach to resolve complex structural variants 2022 Nature Methods article Biochemistry, Genetics and Molecular Biology Genomic variations and chromosomal abnormalities Open access cited by 1 patent 119 citations SVision: A deep learning approach to resolve complex structural variants 2022 Research Square preprint Biochemistry, Genetics and Molecular Biology Genomic variations and chromosomal abnormalities Open access 2 citations Mako: A Graph-Based Pattern Growth Approach to Detect Complex Structural Variants 2021 Genomics Proteomics & Bioinformatics article Biochemistry, Genetics and Molecular Biology Genomic variations and chromosomal abnormalities Open access 9 citations Mako: a graph-based pattern growth approach to detect complex structural variants 2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Genomic variations and chromosomal abnormalities Open access 1 citations 4 results References 0