RNA sequencing from human neutrophils reveals distinct transcriptional differences associated with chronic inflammatory states

Table 3 RNA-SeQC analysis of sequencing performance and library quality

Sample name	Intragenic rate	Exonic rate	Intronic rate	Intergenic rate	Expression profiling efficiency	Transcripts detected	Genes detected
AD 1	0.954	0.758	0.196	0.046	0.758	85,660	15,787
AD 2	0.949	0.727	0.223	0.05	0.727	76,885	14,478
AD 3	0.956	0.78	0.176	0.043	0.78	72,871	13,783
CRM 1	0.956	0.766	0.19	0.043	0.766	81,034	15,094
CRM 2	0.953	0.767	0.186	0.046	0.767	72,810	13,772
CRM 3	0.956	0.78	0.176	0.044	0.78	77,082	14,628
CF 1	0.957	0.767	0.19	0.043	0.767	75,374	14,245
CF 2	0.958	0.78	0.178	0.041	0.78	85,761	16,101
CF 3	0.956	0.785	0.171	0.043	0.785	71,900	13,552

ISSN: 1755-8794