INSnet: a method for detecting insertions based on deep learning network

BACKGROUND: Many studies have shown that structural variations (SVs) strongly impact human disease. As a common type of SV, insertions are usually associated with genetic diseases. Therefore, accurately detecting insertions is of great significance. Although many methods for detecting insertions hav...

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Detalles Bibliográficos
Autores principales: Gao, Runtian, Luo, Junwei, Ding, Hongyu, Zhai, Haixia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9990265/
https://www.ncbi.nlm.nih.gov/pubmed/36879189
http://dx.doi.org/10.1186/s12859-023-05216-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9990265/
https://www.ncbi.nlm.nih.gov/pubmed/36879189
http://dx.doi.org/10.1186/s12859-023-05216-0

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