方法证据记录
Bayesian Variant Calling
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.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Bayesian Statistical Variant Calling from Sequencing Data
分类方法记录 · process-pipeline / bioinformatics
- 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 10.1101/gr.107524.110
- Rimmer, A., Phan, H., Mathieson, I., Iqbal, Z., Twigg, S. R., WGS500 Consortium, ... & McVean, G. (2014). Integrating mapping-, assembly- and haplotype-based approaches for calling variants in clinical sequencing applications. Nature Genetics, 46(8), 912–918. · DOI 10.1038/ng.3036
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