Improving the efficiency of single cell genome sequencing based on overlapping pooling strategy
Cite this dataset
Tu, Jing; Yang, Zengyan; Lu, Na; Lu, Zuhong (2022). Improving the efficiency of single cell genome sequencing based on overlapping pooling strategy [Dataset]. Dryad. https://doi.org/10.5061/dryad.v6wwpzgwr
The dataset contains the statistics of the sequencing data and the copy number profiles of the single cells.
The single-cell sequencing data of 80 single cells from 7 tumor patients with Triple-Negative Breast Cancer (TNBC) were downloaded in FASTQ format from National Center for Biotechnology Information (NCBI)  under Sequence Read Archive (SRA) accessions SRP064210.
Performed basic statistics on BAM files mapped to the human genome hg19. We followed the protocol put forward by Baslan et al. to obtain the copy number profile of single cells.
From the sequencing data statistics file, we can get the number of single cells used for analysis. The number of sequencing reads, mapping rate, genome coverage, and sequencing depth were also included.
From the copy number profiles file, we can know the copy number of every single cell under the current bin size.
National Natural Science Foundation of China, Award: 61971125
Government of Jiangsu Province, Award: 2019-SWYY-004