FusionSeq: a modular framework for finding gene fusions by analyzing paired-end RNA-sequencing data

Table 1 Results of the alignment

Sample ID	Type	Known fusion type	Read size (nt)	Total number of PE reads	Mapped PE reads	Percentage of mapped PE reads
106_T	PCa	TMPRSS2-ERG	51	7,239,733	4,723,941	65.25%
1700_D	PCa	TMPRSS2-ERG	51	12,435,299	7,629,273	61.35%
580_B	PCa	TMPRSS2-ERG	36	18,134,550	7,690,673	42.41%
99_T	PCa	NDRG1-ERG	36	2,844,879	1,515,444	53.27%
2621_D	PCa	SLC45A3-ERG	54	22,079,700	11,899,984	53.90%
1043_D	PCa	No known fusions	51	3,003,305	1,898,332	63.21%
NCI-H660	PCa cell line	TMPRSS2-ERG	51	6,512,688	4,120,365	63.27%
GM12878	Lymphoblastoid cell line	No known fusions	54	44,829,991	20,676,159	46.12%

Total number of PE reads, number of mapped PE reads and the percentage mapped are reported, Note that the number of single-end reads is double the number of PE reads. PCa, prostate cancer.

ISSN: 1474-760X