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Process / pipelineBioinformatics / omics

Bayesiansk variantkald — Probabilistisk SNP- og indel-detektion

Bayesiansk variantkald er en beregningsmæssig pipeline, der anvender probabilistisk inferens til at identificere single-nucleotide polymorfier (SNP'er), insertioner og deletioner i et genom ved at behandle sekvensdata som evidens og beregne posterior-sandsynligheder over kandidatgenotyper. I modsætning til deterministiske, tærskelbaserede kaldere modellerer Bayesianske tilgange eksplicit sekvenseringsfejl, kortlægningsusikkerhed og forudgående genotyptilfrekvenser for at producere kalibrerede genotyplikaliteter, der kan bruges til downstream-filtrering og associationsundersøgelser.

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  1. 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
  2. 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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ScholarGate. (2026, June 3). Bayesian Statistical Variant Calling from Sequencing Data. ScholarGate. https://scholargate.app/da/bioinformatics/bayesian-variant-calling

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ScholarGateBayesian Variant Calling (Bayesian Statistical Variant Calling from Sequencing Data). Hentet 2026-06-15 fra https://scholargate.app/da/bioinformatics/bayesian-variant-calling · Datasæt: https://doi.org/10.5281/zenodo.20539026