Empirical Bayes single nucleotide variant-calling for next-generation sequencing data
Empirical Bayes single nucleotide variant-calling for next-generation sequencing data
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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One of the fundamental computational problems in cancer genomics is the identification of single nucleotide variants (SNVs) from DNA sequencing data. Many statistical models and software implementations for SNV calling have been developed in the literature, yet, they still disagree widely on real datasets. Based on an empirical Bayesian approach, w...
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Empirical Bayes single nucleotide variant-calling for next-generation sequencing data
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TN_cdi_doaj_primary_oai_doaj_org_article_c919b99d690a4bfb91442639c9db284e
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c919b99d690a4bfb91442639c9db284e
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-024-51958-z
