Mako: A Graph-based Pattern Growth Approach to Detect Complex Structural Variants

Complex structural variants (CSVs) are genomic alterations that have more than two breakpoints and are considered as the simultaneous occurrence of simple structural variants. However, detecting the compounded mutational signals of CSVs is challenging through a commonly used model-match strategy. As...

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Detalles Bibliográficos
Autores principales: Lin, Jiadong, Yang, Xiaofei, Kosters, Walter, Xu, Tun, Jia, Yanyan, Wang, Songbo, Zhu, Qihui, Ryan, Mallory, Guo, Li, Zhang, Chengsheng, Lee, Charles, Devine, Scott E., Eichler, Evan E., Ye, Kai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9510932/
https://www.ncbi.nlm.nih.gov/pubmed/34224879
http://dx.doi.org/10.1016/j.gpb.2021.03.007

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9510932/
https://www.ncbi.nlm.nih.gov/pubmed/34224879
http://dx.doi.org/10.1016/j.gpb.2021.03.007

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