New Results
VaPoR: a high-speed validation approach for structural variation using long-read sequencing technology
Xuefang Zhao, Alexandra M. Weber, View ORCID ProfileRyan E. Mills
doi: https://doi.org/10.1101/105817
Xuefang Zhao
1Department of Computational Medicine and Bioinformatics, Ann Arbor, MI 48109 USA
Alexandra M. Weber
1Department of Computational Medicine and Bioinformatics, Ann Arbor, MI 48109 USA
Ryan E. Mills
1Department of Computational Medicine and Bioinformatics, Ann Arbor, MI 48109 USA
2Department of Human Genetics, University of Michigan Medical School, Ann Arbor, MI 48109 USA
Article usage
Posted February 03, 2017.
VaPoR: a high-speed validation approach for structural variation using long-read sequencing technology
Xuefang Zhao, Alexandra M. Weber, Ryan E. Mills
bioRxiv 105817; doi: https://doi.org/10.1101/105817
Subject Area
Subject Areas
- Biochemistry (11752)
- Bioengineering (8752)
- Bioinformatics (29200)
- Biophysics (14974)
- Cancer Biology (12096)
- Cell Biology (17411)
- Clinical Trials (138)
- Developmental Biology (9421)
- Ecology (14182)
- Epidemiology (2067)
- Evolutionary Biology (18308)
- Genetics (12245)
- Genomics (16803)
- Immunology (11869)
- Microbiology (28097)
- Molecular Biology (11594)
- Neuroscience (60969)
- Paleontology (451)
- Pathology (1871)
- Pharmacology and Toxicology (3238)
- Physiology (4959)
- Plant Biology (10427)
- Synthetic Biology (2886)
- Systems Biology (7340)
- Zoology (1651)