Table 3 Data Quality Summary.

From: Transcriptomic profiling of rose flower under treatment of various phytohormones and plant growth regulators

Sample_name	Raw_base (bp)	Clean_base (bp)	Raw reads	Clean reads	Effective rate (%)	Q20	Q30	GC content (%)
H2O-1	6715943400	6648069900	44772956	44320466	98.99	99.47	91.89	46
H2O-2	6794421300	6474099000	45296142	43160660	95.29	99.67	92.65	47
H2O-3	6208617900	6104910000	41390786	40699400	98.33	99.49	91.89	46.5
NAA-1	6352380600	6279223800	42349204	41861492	98.85	99.41	91.74	47
NAA-2	6248699400	6161616600	41657996	41077444	98.61	99.54	92.05	47
NAA-3	6292710900	6216902700	41951406	41446018	98.80	99.65	93.25	46
2, 4-D-1	6141073800	6010109100	40940492	40067394	97.87	99.54	92.75	46
2, 4-D-2	5737084500	5660827200	38247230	37738848	98.67	99.44	91.29	47
2, 4-D-3	7018744800	6884462400	46791632	45896416	98.09	99.34	91.37	46
BR-1	6426085200	6285365700	42840568	41902438	97.81	99.53	92.26	46
BR-2	6138147600	6041525700	40920984	40276838	98.43	99.48	92.01	46
BR-3	7274191500	7115562300	48494610	47437082	97.82	99.60	93.31	47
6-BA-1	6110882400	5885013600	40739216	39233424	96.30	99.61	93.09	46
6-BA-2	5746281900	5627598000	38308546	37517320	97.93	99.59	92.79	47
6-BA-3	5562834300	5495274600	37085562	36635164	98.79	99.53	92.06	46.5
ABA-1	6648969000	6559461300	44326460	43729742	98.65	99.45	91.84	47
ABA-2	7331724000	7209520500	48878160	43729742	89.47	99.39	91.05	46.5
ABA-3	6873168000	6733405800	45821120	44889372	97.97	99.45	91.85	46
GA3-1	7228373700	7149807600	48189158	47665384	98.91	99.51	92.31	46
GA3-2	5687607600	5638328100	37917384	37588854	99.13	99.49	92.04	46.5
GA3-3	5946696000	5891745300	39644640	39278302	99.08	99.52	91.80	46
JA-1	6626836800	6517555200	44178912	43450368	98.35	99.41	91.62	47
JA-2	5917674300	5765472000	39451162	38436480	97.43	99.71	93.50	46
JA-3	6022036200	5938326000	40146908	39588840	98.61	99.52	90.50	46.5
SA-1	6053166600	5962658100	40354444	39751054	98.50	99.55	92.04	46
SA-2	5785421100	5706178200	38569474	38041188	98.63	99.64	92.62	46
SA-3	6465527400	6383856000	43103516	42559040	98.74	99.59	92.69	46
ET-CK-1	7329915600	7182532800	48866104	47883552	97.99	99.68	93.39	46
ET-CK-2	6057890700	5956388400	40385938	39709256	98.32	99.50	91.83	46
ET-CK-3	7039669800	6896620200	46931132	45977468	97.97	99.53	92.33	46
ET-1	7203534600	7115364900	48023564	47435766	98.78	99.63	93.08	46
ET-2	6734019600	6604808700	44893464	44032058	98.08	99.64	92.74	46
ET-3	7487982600	7285686300	49919884	48571242	97.30	99.63	92.90	46
1-MCP-1	6570133800	6514792800	43800892	43431952	99.16	99.47	91.99	48
1-MCP-2	6679282800	6591700500	44528552	43944670	98.69	99.68	94.05	46
1-MCP-3	6255930600	6074547600	41706204	40496984	97.10	99.51	91.73	47
AgNO3-1	6720336300	6563929800	44802242	43759532	97.67	99.57	92.41	46.5
AgNO3-2	6396397200	6308241900	42642648	42054946	98.62	99.54	92.38	46.5
AgNO3-3	6068345400	5977800600	40455636	39852004	98.51	99.64	92.26	46

All data aboved were counted for read1 + read2. Raw bases: (Raw reads) * (sequence length). Clean bases: (Clean reads) * (sequence length). For paired-end sequencing like PE150, sequencing length equals 150, otherwise it equals 50 for sequencing like SE50. Effective Rate (%): (Clean reads/Raw reads) *100% Error rate: base error rate Q20, Q30: (Base count value > 20 or 30) / (Total base count). GC content: (G & C base count)/(Total base count).

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Table 3 Data Quality Summary.

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