Table 2.

Exemplary threshold distribution. The values are for (38, 20)-minimizers, 2 errors, and 1 million reads of length 250. Shown are the distribution $\#x$ ($\%x$) of the number (percentage) of minimizers reaching from $x=14$ to $x=35$ and the threshold t(x) using the probabilistic model from [12]. The threshold t(x) incorporates the correction term $c_p$. On the right, the probability $b_p(x,a)$ of having a false-positive answers from the IBF with $p=0.05$ is shown

x	#x	%x	t(x)	$c_{0.05}$	$b_{0.05}(x,1)$	$b_{0.05}(x,2)$	$b_{0.05}(x,3)$
14	6	<0.1	5	1	35.9	12.3	2.6
15	214	<0.1	6	1	36.6	13.5	3.1
16	2059	0.2	6	1	37.1	14.6	3.6
17	11,081	1.1	8	2	37.4	15.8	4.1
18	36,651	3.5	9	2	37.6	16.8	4.7
19	83,748	8.0	9	2	37.7	17.9	5.3
20	139,864	13.3	10	2	37.7	18.9	6.0
21	179,962	17.2	11	2	37.6	19.8	6.6
22	185,842	17.7	12	2	37.5	20.7	7.3
23	158,032	15.1	12	2	37.2	21.5	7.9
24	113,696	10.8	13	2	36.9	22.3	8.6
25	70,089	6.7	14	2	36.5	23.1	9.3
26	37,540	3.6	15	2	36.1	23.7	10.0
27	18,040	1.7	15	2	35.6	24.3	10.7
28	7535	0.7	16	2	35.0	24.9	11.4
29	2790	0.3	17	2	34.5	25.4	12.0
30	961	<0.1	18	2	33.9	25.9	12.7
31	343	<0.1	18	2	33.3	26.3	13.4
32	88	<0.1	19	2	32.6	26.6	14.0
33	28	<0.1	20	2	32.0	26.9	14.6
34	5	<0.1	22	3	31.3	27.2	15.3
35	2	<0.1	23	3	30.6	27.4	15.8