Rapid, scalable and highly automated HLA genotyping using next-generation sequencing: a transition from research to diagnostics

Table 1 Sequencing metrics generated during the validation study

Run	Raw wells	Passed filter reads	# mixed	# dot	Qual 98% 400 bp	Median read length	Avg read length	Sequenced bases	Enrichment pool 1	Enrichment pool 2
	[wells]	[reads]	[reads]	[reads]	[%]	[bp]	[bp]	[Mb]	[%]	[%]
1	196741	40525	45959	5914	70.4	433	419	18	5.7	6.2
2	185532	55284	21285	6652	76.4	439	423	24	11.0	19.2
3	200418	63876	17878	5362	76.1	490	444	31	3.7	8.5
4	180325	58140	12138	5111	79.0	438	420	25	5.9	10.4
5	203507	47888	16014	5627	77.8	437	421	21	4.7	4.9
6	191236	65820	15161	6485	74.5	439	432	29	4.5	8.4
7	195038	84893	14591	6918	76.8	472	436	40	5.7	8.9
8	169943	63738	7626	3978	71.7	471	422	30	2.2	4.8
9	166860	68281	9837	3495	78.4	472	439	32	6.0	8.3
10	181827	76641	11098	5357	76.5	439	424	34	5.3	11.1
11	78145	37859	3424	1574	81.8	407	376	15	7.6	5.8
12	179605	79050	12011	4334	81.7	494	467	39	2.7	7.2
13	152786	49926	11640	4714	70.8	418	406	21	3.4	5.8
14	185278	95070	10123	4410	83.8	476	443	45	4.8	5.8
15	223279	94856	17760	6475	78.4	469	441	44	4.6	8.9
16	166811	75942	12852	4022	76.1	439	428	33	6.0	8.1
17	194555	75140	14330	6253	74.0	468	431	35	4.5	5.5
18	234277	56467	30603	9823	84.1	441	426	25	4.8	6.0

ISSN: 1471-2164