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I was calling SNP from Mouse samples using GATK and was in the step of "Variant quality score recalibration". The VariantRecalibrator walker asked me to provide training sets for mouse SNPs. The only SNP data (for the USCS mm9 assembly) I can find right now is the dbSNP. So I tried the run VariantRecalibrator like this:
java -Xmx4g -jar GenomeAnalysisTK.jar -T VariantRecalibrator -R Refseq.fa -input snps.raw.vcf -resource:dbsnp,known=true,training=false,truth=false,prior=6.0 snp128.vcf -an QD -an HaplotypeScore -an MQRankSum -an ReadPosRankSum -an FS -an MQ -an InbreedingCoeff -mode BOTH -recalFile output.recal -tranchesFile output.tranches -rscriptFile output.plots.R
However, the program asked for more:
I was wondering if I can change the parameters by setting both the training/truth to true:
or should I ignore the "-resource" option at the cost of being less accurate?
Any suggestions would be greatly appreciated.