방법 비교

선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.

베이지안 변이 호출×Sequence Alignment×
분야생물정보학생물정보학
계열Process / pipelineProcess / pipeline
기원 연도2010 (GATK framework); Bayesian genotyping principles preceded by Samtools/MAQ ~2008–20091970 (global alignment); 1981 (local alignment)
창시자Mark DePristo, Eric Banks, and the Broad Institute GATK teamSaul B. Needleman & Christian D. Wunsch (global); Temple F. Smith & Michael S. Waterman (local)
유형Probabilistic genomic inference pipelineComputational sequence analysis technique
원전McKenna, 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 ↗
별칭Bayesian genotyping, probabilistic variant calling, GATK HaplotypeCaller, Bayesian SNP/indel detectionpairwise alignment, multiple sequence alignment, MSA, sequence comparison
관련66
요약Bayesian 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.
ScholarGate데이터셋
  1. v1
  2. 2 출처
  3. PUBLISHED
  1. v1
  2. 2 출처
  3. PUBLISHED

검색으로 이동 Download slides

ScholarGate방법 비교: Bayesian Variant Calling · Sequence Alignment. 2026-06-15에 다음에서 검색함: https://scholargate.app/ko/compare