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Figure 2 | BMC Bioinformatics

Figure 2

From: BAYSIC: a Bayesian method for combining sets of genome variants with improved specificity and sensitivity

Figure 2

Overview of BAYSIC algorithm. Sets of variant calls produced from one or more programs are input in VCF format. Optionally, variants from third party databases are included as additional sources of information, e.g. dbSNP for normal variant calling and COSMIC for somatic mutation calling. False positive and false negative error rates are estimated using Markov Chain Monte Carlo simulation, and a posterior probability is calculated for each possible combination of agreement between the variant calling programs (see Methods). Finally, variants whose posterior probability is greater than the cutoff specified by the user (default value = 0.8) are output to generate a set of integrated variant calls.

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