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贝叶斯变异检测×序列比对×
领域生物信息学生物信息学
方法族Process / pipelineProcess / pipeline
起源年份2010 (GATK framework); Bayesian genotyping principles preceded by Samtools/MAQ ~2008–20091970 (global alignment); 1981 (local alignment)
提出者Mark DePristo, Eric Banks, and the Broad Institute GATK teamSaul B. Needleman & Christian D. Wunsch (global); Temple F. Smith & Michael S. Waterman (local)
类型Probabilistic genomic inference pipelineComputational sequence analysis technique
开创性文献McKenna, A., Hanna, M., Banks, E., Sivachenko, A., Cibulskis, K., Kernytsky, A., ... & DePristo, M. A. (2010). The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data. Genome Research, 20(9), 1297–1303. DOI ↗Needleman, S. B., & Wunsch, C. D. (1970). A general method applicable to the search for similarities in the amino acid sequence of two proteins. Journal of Molecular Biology, 48(3), 443–453. DOI ↗
别名Bayesian genotyping, probabilistic variant calling, GATK HaplotypeCaller, Bayesian SNP/indel detectionpairwise alignment, multiple sequence alignment, MSA, sequence comparison
相关66
摘要Bayesian variant calling is a computational pipeline that uses probabilistic inference to identify single-nucleotide polymorphisms (SNPs), insertions, and deletions in a genome by treating sequencing data as evidence and computing posterior probabilities over candidate genotypes. Unlike deterministic threshold-based callers, Bayesian approaches explicitly model sequencing error, mapping uncertainty, and prior genotype frequencies to produce calibrated genotype likelihoods that can be used for downstream filtering and association testing.Sequence alignment is a foundational bioinformatics technique that arranges two or more DNA, RNA, or protein sequences to reveal regions of similarity, infer evolutionary relationships, identify functional domains, and map sequencing reads to reference genomes. It underpins virtually every downstream genomic analysis, from variant calling and gene expression quantification to phylogenetics and structural annotation.
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  3. PUBLISHED

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ScholarGate方法对比: Bayesian Variant Calling · Sequence Alignment. 于 2026-06-15 检索自 https://scholargate.app/zh/compare