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. 2017 Jul 24;33(22):3538–3548. doi: 10.1093/bioinformatics/btx473

Table 1.

The comparison of SPRINT with other methods on identifying RES

Alu sites
Repetitive non-Alu sites
Nonrepetitive sites
Cell lines Tools Known SNP (%) Total A-to-G (%) Precision (%) FDR (%) Total A-to-G (%) Precision (%) FDR (%) Total A-to-G (%) Precision (%) FDR (%)
GM12878, cell SPRINT 0 336 304 97.7 96.5 14 019 87.8 97.2 5407 49.8a 96.8
Ramaswami et al.* 100 147 029 95.8 2385 97.4 1451 86.6
Regular-RESs GM12878, cytosolic SPRINT 0 359 725 98.9 96.9 5469 96 96.8 2081 75.9 95.5
GIREMI* 70 36 131 99 99.4 267 83.7 84.3 1193 82.8 73.8
GIREMI* 100 39 757 99.7 260 88.6 1010 73.5
U87MG SPRINT 0 48 085 99.6 96.2 3.2 988 99.5 97.1 4.5 296 87.8 91.2 0
GIREMI 100 2152 99.8 0.7 114 96.5 9 509 88.6 53
RNAEditor 100 62 979 8.2 6142 42.3 155 55.5
REDItools (de novo) 100 628 96.5 3.6 238 46.2 80 14 949 39.7 100
JACUSA (RRD) 100 2154 94.7 331 39 4527 20.8

Total A-to-G (%)

GM12878, cell SPRINT 328 762 97.9
Hyper-RESs Porath et al.* 157 077 96
U87MG SPRINT 57 913 96
Porath et al.* 27 124 94.6

Note: ‘*’ means the data are derived from the corresponding study. The details for running competing tools are described in Methods. ‘–’ means not assessed: For A-to-G rate, RNAEditor only outputs A-to-G changes, and therefore cannot be assessed; For precision, in U87MG dataset all methods except SPRINT call RESs by removing SNPs in dbSNP from the called SNVs, and therefore cannot be assessed; For FDR, only U87MG dataset is used for assessment, because it has ADAR knockdown sample. Since JACUSA (RRD) compares variants of RNA (CTRL) with that of RNA (KD), the FDR of JACUSA is unavailable.

a

The lower A-to-G rate is attributed to the presence of many clustered G-to-T changes which may be sequencing artefacts of the RNA-seq data in ENCODE project (see Supplementary Fig. S5 for details).