Improving the efficiency of single-cell genome sequencing based on overlapping pooling strategy and CNV analysis.

ABSTRACT: Single-cell genome sequencing has become a useful tool in medicine and biology studies. However, an independent library is required for each cell in single-cell genome sequencing, so that the cost grows with the number of cells. In this study, we report a study which efficiently analyses single-cell copy number variation (CNV) using overlapping pooling strategy and branch and bound (B&B) algorithm. Single cells were overlapped pooled before sequencing, and later were assorted into specific types by estimating their CNV patterns by B&B algorithm. Instead of constructing libraries for each cell, a library is required only for each pool. As the number of pools is smaller than the cells, fewer libraries are required, which means lower cost. Through computer simulations, we overla

SUBMITTER: Tu J 

PROVIDER: S-EPMC8790377 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature