MGA-seq: robust identification of extrachromosomal DNA and genetic variants using multiple genetic abnormality sequencing

Genomic abnormalities are strongly associated with cancer and infertility. In this study, we develop a simple and efficient method — multiple genetic abnormality sequencing (MGA-Seq) — to simultaneously detect structural variation, copy number variation, single-nucleotide polymorphism, homogeneously...

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Detalles Bibliográficos
Autores principales: Lin, Da, Zou, Yanyan, Li, Xinyu, Wang, Jinyue, Xiao, Qin, Gao, Xiaochen, Lin, Fei, Zhang, Ningyuan, Jiao, Ming, Guo, Yu, Teng, Zhaowei, Li, Shiyi, Wei, Yongchang, Zhou, Fuling, Yin, Rong, Zhang, Siheng, Xing, Lingyu, Xu, Weize, Wu, Xiaofeng, Yang, Bing, Xiao, Ke, Wu, Chengchao, Tao, Yingfeng, Yang, Xiaoqing, Zhang, Jing, Hu, Sheng, Dong, Shuang, Li, Xiaoyu, Ye, Shengwei, Hong, Zhidan, Pan, Yihang, Yang, Yuqin, Sun, Haixiang, Cao, Gang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614391/
https://www.ncbi.nlm.nih.gov/pubmed/37904244
http://dx.doi.org/10.1186/s13059-023-03081-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614391/
https://www.ncbi.nlm.nih.gov/pubmed/37904244
http://dx.doi.org/10.1186/s13059-023-03081-x

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