MultiGeMS: detection of SNVs from multiple samples using model selection on high-throughput sequencing data
文献类型：期刊论文
| 作者 | Murillo, Gabriel H.1; You, Na2; Su, Xiaoquan3 ; Cui, Wei1; Reilly, Muredach P.4; Li, Mingyao5; Ning, Kang6; Cui, Xinping1,7
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| 刊名 | BIOINFORMATICS
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| 出版日期 | 2016-05-15 |
| 卷号 | 32期号:10页码:1486-1492 |
| 英文摘要 | Motivation: Single nucleotide variant (SNV) detection procedures are being utilized as never before to analyze the recent abundance of high-throughput DNA sequencing data, both on single and multiple sample datasets. Building on previously published work with the single sample SNV caller genotype model selection (GeMS), a multiple sample version of GeMS (MultiGeMS) is introduced. Unlike other popular multiple sample SNV callers, the MultiGeMS statistical model accounts for enzymatic substitution sequencing errors. It also addresses the multiple testing problem endemic to multiple sample SNV calling and utilizes high performance computing (HPC) techniques. |
| WOS标题词 | Science & Technology ; Life Sciences & Biomedicine ; Technology ; Physical Sciences |
| 类目[WOS] | Biochemical Research Methods ; Biotechnology & Applied Microbiology ; Computer Science, Interdisciplinary Applications ; Mathematical & Computational Biology ; Statistics & Probability |
| 研究领域[WOS] | Biochemistry & Molecular Biology ; Biotechnology & Applied Microbiology ; Computer Science ; Mathematical & Computational Biology ; Mathematics |
| 关键词[WOS] | DISCOVERY ; FRAMEWORK |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000376656900007 |
| 源URL | [http://ir.qibebt.ac.cn/handle/337004/8229]  |
| 专题 | 青岛生物能源与过程研究所_单细胞中心 |
| 作者单位 | 1.Univ Calif Riverside, Dept Stat, Riverside, CA 92521 USA 2.Sun Yat Sen Univ, Sch Math & Computat Sci, Dept Stat Sci, Guangzhou 510275, Guangdong, Peoples R China 3.Chinese Acad Sci, Qingdao Inst BioEnergy & Bioproc Technol, Qingdao 266101, Shandong, Peoples R China 4.Univ Penn, Perelman Sch Med, Cardiovasc Inst, Philadelphia, PA 19104 USA 5.Univ Penn, Perelman Sch Med, Dept Biostat & Epidemiol, Philadelphia, PA 19104 USA 6.Huazhong Univ Sci & Technol, Coll Life Sci & Technol, Key Lab Mol Biophys, Minist Educ, Wuhan 430074, Hubei, Peoples R China 7.Univ Calif Riverside, Inst Integrat Genome Biol, Ctr Plant Cell Biol, Riverside, CA 92521 USA |
| 推荐引用方式 GB/T 7714 | Murillo, Gabriel H.,You, Na,Su, Xiaoquan,et al. MultiGeMS: detection of SNVs from multiple samples using model selection on high-throughput sequencing data[J]. BIOINFORMATICS,2016,32(10):1486-1492. |
| APA | Murillo, Gabriel H..,You, Na.,Su, Xiaoquan.,Cui, Wei.,Reilly, Muredach P..,...&Cui, Xinping.(2016).MultiGeMS: detection of SNVs from multiple samples using model selection on high-throughput sequencing data.BIOINFORMATICS,32(10),1486-1492. |
| MLA | Murillo, Gabriel H.,et al."MultiGeMS: detection of SNVs from multiple samples using model selection on high-throughput sequencing data".BIOINFORMATICS 32.10(2016):1486-1492. |
入库方式： OAI收割
来源：青岛生物能源与过程研究所
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