拷贝数变化
生物
单细胞测序
计算生物学
基因组学
灵敏度(控制系统)
拷贝数分析
基因组
遗传学
基因
表型
外显子组测序
电子工程
工程类
作者
Jing Tu,Yue Zhou,Yuhan Tao,Na Lü,Yixuan Yang,Lu Zhang
出处
期刊:Gene
[Elsevier]
日期:2022-01-01
卷期号:808: 145995-145995
被引量:1
标识
DOI:10.1016/j.gene.2021.145995
摘要
While previous studies have given some guidance, the sensitivity of copy number calling in single-cell genomics is still not comprehensive. We studied the impact of sequencing depth and other factors on single-cell copy number analysis. Sequencing Data from 26 datasets were retrieved, and 2946 single cells passed the filter. Thirty-eight single cells were independently downscaled to evaluate copy number variation (CNV) detection sensitivity at different bin sizes. The sensitivity of whole genome amplification (WGA) approaches and cell types to CNV calling were evaluated using downsampling of 101 and 70 cells. Cluster analysis based on t-SNE was executed to evaluate CNV calling performance. Our results suggest 0.75× sequencing depth with moderate resolution (250 kb bin size) may be a practical guideline considering both sequencing cost and performance of copy number calling, which can be appropriately optimized based on amplification approach, cell type, and sample complexity.
科研通智能强力驱动
Strongly Powered by AbleSci AI