Work

Accurate and sensitive single-cell-level detection of copy number variations by micro-channel multiple displacement amplification (μcMDA)

Year: 2018

Type: article

Source: Nanoscale

DOI: 10.1039/c8nr04917c

Authors: Junji Li, Na Lu, Yuhan Tao, Mengqin Duan, Yi Qiao, Yuming Xu, Qinyu Ge, Changwei Bi, Jiye Fu, Jing Tu, Zuhong Lu

Institutions: Nanjing University of Science and Technology, State Key Laboratory of Digital Medical Engineering, Southeast University

Language: English

Topic: Genomic variations and chromosomal abnormalities

Subfield: Genetics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: National Natural Science Foundation of China

Award: 基于嵌合序列和微流控技术的基因组单倍体分型技术研究

OpenAlex ID: W2889525082

FWCI: 0.655

Cites: 44

Cited by: 11

Related to: 10