PRJNA726033
Evaluation of tools for identifying large copy number variations from ultra-low-coverage whole-genome sequencing data
In this comparison study, we evaluated the performance of CNV detection algorithms for detection of large CNVs (millions of base pairs) from ultra-low-coverage whole-genome sequencing (WGS) data. The samples are from different passages of the human pluripotent embryonic stem cell line H9 sequenced using Illumina Miseq device with 2x150 bp chemistry. The read coverage of the cell line samples varies from 0.06 to 0.13x.