iSeqQC: a tool for expression-based quality control in RNA sequencing

BMC Bioinformatics

Table 1 Summary statistics of control and diseased samples showing overall low expression of control 4 sample (iSeqQC output)

Samples names	Detected Genes	Mean	SD	Median	Max	Range	Skew	Kurtosis	Library Size	Expressed Genes
C.1	31,963	57.21	527.06	13.34	47,932	47,932	56.42	2.95	1,550,389	30,495
C.2	31,963	48.51	404.42	16.31	46,324	46,324	81.98	2.26	2,779,530	29,821
C.3	31,963	86.96	805.74	14.83	87,803	87,803	73.67	4.51	336,318	28,946
C.4	31,963	10.52	15.42	7.41	829	829	11.57	0.09	11,606,701	25,414
D.1	31,963	363.13	5348.91	22.24	633,897	633,897	81.32	29.92	9,982,421	24,625
D.2	31,963	312.31	8118.42	19.27	1,223,093	1,223,093	117.76	45.41	6,433,195	27,140
D.3	31,963	201.27	2433.88	20.76	289,596	289,596	71.74	13.61	14,027,954	24,074
D.4	31,963	438.88	5840.56	28.17	685,534	685,534	78.72	32.67	1,550,389	30,495

ISSN: 1471-2105