#<METADATA>Ln prior of deletion of length 10=-20.72326583694641
#<METADATA>Ln prior of deletion of length 9=-20.72326583694641
#<METADATA>Ln prior of deletion of length 8=-20.72326583694641
#<METADATA>Ln prior of deletion of length 7=-20.72326583694641
#<METADATA>Ln prior of deletion of length 6=-20.72326583694641
#<METADATA>Ln prior of deletion of length 5=-20.72326583694641
#<METADATA>Ln prior of deletion of length 4=-20.72326583694641
#<METADATA>Ln prior of deletion of length 3=-20.72326583694641
#<METADATA>Ln prior of deletion of length 2=-20.72326583694641
#<METADATA>Ln prior of deletion of length 1=-20.72326583694641
#<METADATA>Ln prior of SNV=-13.267488158525824
#<METADATA>Ln prior of insertion of length 1=-20.72326583694641
#<METADATA>Ln prior of insertion of length 2=-20.72326583694641
#<METADATA>Ln prior of insertion of length 3=-20.72326583694641
#<METADATA>Ln prior of insertion of length 4=-20.72326583694641
#<METADATA>Ln prior of insertion of length 5=-20.72326583694641
#<METADATA>Ln prior of insertion of length 6=-20.72326583694641
#<METADATA>Ln prior of insertion of length 7=-20.72326583694641
#<METADATA>Ln prior of insertion of length 8=-20.72326583694641
#<METADATA>Ln prior of insertion of length 9=-20.72326583694641
#<METADATA>Ln prior of insertion of length 10=-20.72326583694641
#<METADATA>Background beta-binomial cluster=weight = 0.6178, alpha = 1.06, beta = 1.45
#<METADATA>High-AF beta-binomial cluster=weight = 0.3822, alpha = 10.00, beta = 1.01
#<METADATA>threshold=0.627
#<METADATA>fdr=0.0
#<METADATA>sensitivity=0.0
filter	FP	FDR	FN	FNR
weak_evidence	0.0	0.0	0.09	0.19
orientation	0.0	0.0	0.01	0.03
germline	0.0	0.0	0.37	0.81