Statistical modeling for sensitive detection of low-frequency single nucleotide variants.

Hao, Yangyang; Zhang, Pengyue; Xuei, Xiaoling; Nakshatri, Harikrishna; Edenberg, Howard J; Li, Lang; Liu, Yunlong

Hao, Yangyang; Zhang, Pengyue; Xuei, Xiaoling; Nakshatri, Harikrishna; Edenberg, Howard J; Li, Lang; Liu, Yunlong.

Affiliation

Hao Y; Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
Zhang P; Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
Xuei X; Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
Nakshatri H; Department of Biostatistics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
Edenberg HJ; Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
Li L; Center for Medical Genomics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
Liu Y; Department of Surgery, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.

BMC Genomics ; 17 Suppl 7: 514, 2016 08 22.

Article in En | MEDLINE | ID: mdl-27556804

Subject(s)

Base Sequence/genetics; High-Throughput Nucleotide Sequencing/methods; Models, Statistical; Polymorphism, Single Nucleotide/genetics; Algorithms; Chromosome Mapping; Humans; Sequence Analysis, DNA/methods; Software

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Base Sequence / Models, Statistical / Polymorphism, Single Nucleotide / High-Throughput Nucleotide Sequencing Type of study: Diagnostic_studies / Guideline / Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Humans Language: En Journal: BMC Genomics Journal subject: GENETICA Year: 2016 Type: Article Affiliation country: United States

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