New Results
New synthetic-diploid benchmark for accurate variant calling evaluation
View ORCID ProfileHeng Li, Jonathan M Bloom, Yossi Farjoun, Mark Fleharty, Laura Gauthier, View ORCID ProfileBenjamin Neale, Daniel MacArthur
doi: https://doi.org/10.1101/223297
Heng Li
1Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
Jonathan M Bloom
1Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
Yossi Farjoun
1Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
Mark Fleharty
1Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
Laura Gauthier
1Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
Benjamin Neale
1Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
2Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
Daniel MacArthur
1Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
2Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA

Article usage
Posted November 22, 2017.
New synthetic-diploid benchmark for accurate variant calling evaluation
Heng Li, Jonathan M Bloom, Yossi Farjoun, Mark Fleharty, Laura Gauthier, Benjamin Neale, Daniel MacArthur
bioRxiv 223297; doi: https://doi.org/10.1101/223297
Subject Area
Subject Areas
- Biochemistry
- Biochemistry (14180)
- Bioengineering (10832)
- Bioinformatics (34331)
- Biophysics (17661)
- Cancer Biology (14762)
- Cell Biology (20788)
- Clinical Trials (138)
- Developmental Biology (11199)
- Ecology (16510)
- Epidemiology (2067)
- Evolutionary Biology (20818)
- Genetics (13682)
- Genomics (19108)
- Immunology (14248)
- Microbiology (33196)
- Molecular Biology (13845)
- Neuroscience (72489)
- Paleontology (542)
- Pathology (2278)
- Pharmacology and Toxicology (3860)
- Physiology (6104)
- Plant Biology (12394)
- Synthetic Biology (3463)
- Systems Biology (8376)
- Zoology (1913)