New Results
Comparing multi- and single-sample variant calls to improve variant call sets from deep coverage whole-genome sequencing data
Suyash S. Shringarpure, Rasika A. Mathias, Ryan D. Hernandez, Timothy D. O’Connor, Zachary A. Szpiech, Raul Torres, Francisco M. De La Vega, Carlos D. Bustamante, Kathleen C. Barnes, Margaret A. Taub, Behalf of the CAAPA consortium
doi: https://doi.org/10.1101/078642
Suyash S. Shringarpure
1Genetics Department, Stanford University School of Medicine, Stanford, CA USA
Rasika A. Mathias
2Department of Medicine, Johns Hopkins University, Baltimore, MD.
3Department of Epidemiology, Bloomberg School of Public Health, JHU, Baltimore, MD.
Ryan D. Hernandez
4Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA
5Institute for Human Genetics, University of California, San Francisco, San Francisco, CA.
6California Institute for Quantitative Biosciences, University of California, San Francisco, San Francisco, CA.
Timothy D. O’Connor
7Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD.
8Program in Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore.
9Department of Medicine, University of Maryland School of Medicine, Baltimore, MD.
Zachary A. Szpiech
4Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA
Raul Torres
10Biomedical Sciences Graduate Program, University of California, San Francisco, San Francisco, CA.
Francisco M. De La Vega
1Genetics Department, Stanford University School of Medicine, Stanford, CA USA
Carlos D. Bustamante
1Genetics Department, Stanford University School of Medicine, Stanford, CA USA
Kathleen C. Barnes
2Department of Medicine, Johns Hopkins University, Baltimore, MD.
3Department of Epidemiology, Bloomberg School of Public Health, JHU, Baltimore, MD.
Margaret A. Taub
11Department of Biostatistics, Bloomberg School of Public Health, JHU, Baltimore, MD.
Article usage
Posted September 30, 2016.
Comparing multi- and single-sample variant calls to improve variant call sets from deep coverage whole-genome sequencing data
Suyash S. Shringarpure, Rasika A. Mathias, Ryan D. Hernandez, Timothy D. O’Connor, Zachary A. Szpiech, Raul Torres, Francisco M. De La Vega, Carlos D. Bustamante, Kathleen C. Barnes, Margaret A. Taub, Behalf of the CAAPA consortium
bioRxiv 078642; doi: https://doi.org/10.1101/078642
Comparing multi- and single-sample variant calls to improve variant call sets from deep coverage whole-genome sequencing data
Suyash S. Shringarpure, Rasika A. Mathias, Ryan D. Hernandez, Timothy D. O’Connor, Zachary A. Szpiech, Raul Torres, Francisco M. De La Vega, Carlos D. Bustamante, Kathleen C. Barnes, Margaret A. Taub, Behalf of the CAAPA consortium
bioRxiv 078642; doi: https://doi.org/10.1101/078642
Subject Area
Subject Areas
- Biochemistry (11736)
- Bioengineering (8746)
- Bioinformatics (29186)
- Biophysics (14964)
- Cancer Biology (12084)
- Cell Biology (17401)
- Clinical Trials (138)
- Developmental Biology (9418)
- Ecology (14176)
- Epidemiology (2067)
- Evolutionary Biology (18299)
- Genetics (12235)
- Genomics (16793)
- Immunology (11863)
- Microbiology (28066)
- Molecular Biology (11580)
- Neuroscience (60925)
- Paleontology (451)
- Pathology (1870)
- Pharmacology and Toxicology (3238)
- Physiology (4956)
- Plant Biology (10422)
- Synthetic Biology (2883)
- Systems Biology (7338)
- Zoology (1650)