Published April 29, 2021
| Version v1
Journal article
Open
Evaluation of tools for identifying large copy number variations from ultra-low-coverage whole-genome sequencing data
Creators
- 1. Turku Bioscience Centre, University of Turku and Åbo Akademi University
Description
Data for our comparison study "Evaluation of tools for identifying large copy number variations from ultra-low-coverage whole-genome sequencing data" published in BMC Genomics. 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. Here, we provide the simulated sequencing data as well as the ground truth CNVs for the human pluripotent embryonic stem cell line H9 data used in the study. The ground truth CNVs of the simulated data are in the Supplementary File of the manuscript.
Files
Embryonic_stem_cell_line_CNVs.txt
Files
(1.3 GB)
Name | Size | Download all |
---|---|---|
md5:04ed199844f7a9c8def3249d06d824a0
|
5.0 kB | Preview Download |
md5:2a359821c0bfe8c483880000063262e6
|
634.8 MB | Download |
md5:07c85f6a0aba6c51b939bbdbe76e3f8d
|
634.8 MB | Download |