@article {34,
	title = {A synthetic-diploid benchmark for accurate variant-calling evaluation.},
	journal = {Nat Methods},
	volume = {15},
	year = {2018},
	month = {2018 Aug},
	pages = {595-597},
	abstract = {<p>Existing benchmark datasets for use in evaluating variant-calling accuracy are constructed from a consensus of known short-variant callers, and they are thus biased toward easy regions that are accessible by these algorithms. We derived a new benchmark dataset from the de novo PacBio assemblies of two fully homozygous human cell lines, which provides a relatively more accurate and less biased estimate of small-variant-calling error rates in a realistic context.</p>},
	keywords = {Algorithms, Benchmarking, Cell Line, Tumor, Databases, Genetic, Diploidy, Female, Genetic Variation, Genome, Human, Homozygote, Humans, Hydatidiform Mole, Pregnancy, Synthetic Biology, Uterine Neoplasms, Whole Genome Sequencing},
	issn = {1548-7105},
	doi = {10.1038/s41592-018-0054-7},
	author = {Li, Heng and Bloom, Jonathan M and Farjoun, Yossi and Fleharty, Mark and Gauthier, Laura and Neale, Benjamin and MacArthur, Daniel}
}
