An improved filtering algorithm for big read datasets and its application to single-cell assembly

BMC Bioinformatics

Table 1 Coverage statistics for Bignorm with Q ₀=20, Diginorm, and the raw datasets

Dataset	Algorithm	\(\mathcal {P}10\)	Mean	\(\mathcal {P}90\)	Max
Aceto	Bignorm	6	132	216	6801
	Diginorm	7	171	295	12,020
	Raw	15	9562	17,227	551,000
Alphaproteo	Bignorm	10	43	92	884
	Diginorm	7	173	481	6681
	Raw	25	5302	14,070	303,200
Arco	Bignorm	1	98	54	2103
	Diginorm	1	362	200	6114
	Raw	3	10,850	4091	220,600
Arma	Bignorm	8	23	32	358
	Diginorm	8	79	141	5000
	Raw	17	629	1118	31,260
ASZN2	Bignorm	40	70	83	2012
	Diginorm	23	143	354	3437
	Raw	50	1738	4784	43,840
Bacteroides	Bignorm	3	74	90	6768
	Diginorm	3	123	205	7933
	Raw	7	6051	8127	570,900
Caldi	Bignorm	25	63	110	786
	Diginorm	15	67	135	3584
	Raw	27	1556	3643	33,530
Caulo	Bignorm	7	228	216	10,400
	Diginorm	8	362	491	35,520
	Raw	8	10,220	9737	464,300
Chloroflexi	Bignorm	8	72	101	2822
	Diginorm	9	412	878	20,850
	Raw	9	5612	7741	316,900
Crenarch	Bignorm	8	104	159	3770
	Diginorm	10	560	1285	29,720
	Raw	10	8086	14,987	316,700
Cyanobact	Bignorm	9	144	153	5234
	Diginorm	10	756	1450	26,980
	Raw	10	9478	11,076	356,600
E.coli	Bignorm	37	45	56	234
	Diginorm	50	382	922	7864
	Raw	112	2522	6378	56,520
SAR324	Bignorm	24	49	71	1410
	Diginorm	18	53	107	2473
	Raw	26	1086	2761	106,000

ISSN: 1471-2105