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Performance of Common Analysis Methods for Detecting Low-Frequency Single Nucleotide Variants in Targeted Next-Generation Sequence Data

机译：检测目标下一代序列数据中低频单核苷酸变体的常用分析方法的性能

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Spencer David H.; Tyagi Manoj; Vallania Francesco; Bredemeyer Andrew J.; Pfeifer John D.; Mitra Rob D.; Duncavage Eric J.;
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年度 2014
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1. Performance of common analysis methods for detecting low-frequency single nucleotide variants in targeted next-generation sequence data [J] . SpencerD.H., TyagiM., VallaniaF., The Journal of molecular diagnostics: JMD . 2014,第1期

机译：在目标下一代序列数据中检测低频单核苷酸变异的常用分析方法的性能
2. Methods for detecting associations with rare variants for common diseases: application to analysis of sequence data. [J] . Li B, Leal SM The American Journal of Human Genetics . 2008,第3期

机译：检测与常见疾病罕见变体相关的方法：在序列数据分析中的应用。
3. Systematic comparative analysis of single-nucleotide variant detection methods from single-cell RNA sequencing data [J] . Fenglin Liu, Yuanyuan Zhang, Lei Zhang, Genome Biology . 2019,第1期

机译：单细胞RNA测序数据的单核苷酸变体检测方法的系统对比分析
4. Application of decision tree classifier for single nucleotide polymorphism discovery from next-generation sequencing data [C] . Istiadi Muhammad Abrar, Kusuma Wisnu Ananta, Tasma /I/. Made International Conference on Advanced Computer Science and Information Systems . 2014

机译：决策树分类器在下一代测序数据发现单核苷酸多态性中的应用
5. Statistical Methods for Aggregation of Sequence Data and Multiple Testing Correction in Common and Rare Variant Analysis [D] . Chen, Zhongsheng. 2020

机译：常见和罕见变体分析中序列数据聚合和多次测试校正的统计方法
6. Performance of Common Analysis Methods for Detecting Low-Frequency Single Nucleotide Variants in Targeted Next-Generation Sequence Data [O] . David H. Spencer, Manoj Tyagi, Francesco Vallania, 2014

机译：检测目标下一代序列数据中低频单核苷酸变异的常用分析方法的性能
7. Methods for Detecting Associations with Rare Variants for Common Diseases: Application to Analysis of Sequence Data [O] . Li, Bingshan, Leal, Suzanne M. 2008

机译：检测与常见疾病的罕见变异的关联的方法：在序列数据分析中的应用

Performance of Common Analysis Methods for Detecting Low-Frequency Single Nucleotide Variants in Targeted Next-Generation Sequence Data

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