Statistical modeling of STR capillary electrophoresis signal

BMC Bioinformatics

Table 3 The number of peaks and drop-out peaks observed for each model component in the Identifiler™ Plus (IP) 5, 10 and 20 second and GlobalFiler™ (GF) 5, 15 and 25 second datasets

Dataset	Model component	# peaks	# drop-out peaks
IP	Allele	39,939	6329
5 second	Reverse	14,429	18,840
	Forward	4985	28,284
	Noise	53,577	461,466
IP	Allele	40,110	5,154
10 second	Reverse	17,857	14,603
	Forward	6478	25,982
	Noise	62,698	438,092
IP	Allele	39,318	4934
20 second	Reverse	20,092	11,709
	Forward	7817	23,984
	Noise	69,199	421,334
IP	Allele	53,175	10,807
5 second	Reverse	4942	43,855
	Forward	17,366	31,431
	Noise	79,436	1,005,765
IP	Allele	54,988	7320
15 second	Reverse	25,851	21,586
	Forward	8145	39,292
	Noise	90,603	962,560
IP	Allele	56,754	7186
20 second	Reverse	30,571	18,092
	Forward	10,587	38,076
	Noise	98,704	980,775

For each single source profile, peaks were categorized according to the known donor genotype as allele, reverse stutter, forward stutter or noise. When no peak was observed, the position was considered drop-out

ISSN: 1471-2105