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16GT: a fast and sensitive variant caller using a 16-genotype probabilistic model

View ORCID ProfileRuibang Luo, View ORCID ProfileMichael C. Schatz, View ORCID ProfileSteven L. Salzberg
doi: https://doi.org/10.1101/111393
Ruibang Luo
1Department of Computer Science, Johns Hopkins University,
2Center for Computational Biology, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine,
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Michael C. Schatz
1Department of Computer Science, Johns Hopkins University,
2Center for Computational Biology, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine,
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Steven L. Salzberg
1Department of Computer Science, Johns Hopkins University,
2Center for Computational Biology, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine,
3Departments of Biomedical Engineering and Biostatistics, Johns Hopkins University
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Posted February 24, 2017.
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16GT: a fast and sensitive variant caller using a 16-genotype probabilistic model
Ruibang Luo, Michael C. Schatz, Steven L. Salzberg
bioRxiv 111393; doi: https://doi.org/10.1101/111393
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16GT: a fast and sensitive variant caller using a 16-genotype probabilistic model
Ruibang Luo, Michael C. Schatz, Steven L. Salzberg
bioRxiv 111393; doi: https://doi.org/10.1101/111393

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