SCSilicon: a tool for synthetic single-cell DNA sequencing data generation Long Description (required)
SCSilicon efficiently generates single-cell in silicon DNA reads with minimum manual intervention. SCSilicon first creates the genome sequence (FASTA file) for each single-cell by automatically simulating a collection of genomic aberrations, including SNP, SNV, Indel, and CNV. Likewise, SCSilicon yields the ground truth of CNV segmentation breakpoints and subclone cell labels. Then, SCSilicon amplifies the genome and generates FASTQ reads. We have manually inspected a series of synthetic variations (SNP, SNV, Indel, and CNV breakpoint) generated by SCSilicon, and evaluated three start-of-the-art single-cell CNV callers. Single-cell sequencing, Simulation, Copy number variation https://github.com/xikanfeng2/SCSilicon
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[Pubmed ID: 35546390 ],
Feng X, Chen L ,
SCSilicon: a tool for synthetic single-cell DNA sequencing data generation. ,
BMC Genomics ,
05-11-2022 ,
https://www.ncbi.nlm.nih.gov/pubmed/?term=35546390, Primary Citation