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. 2019 Oct 8;36(5):1382–1390. doi: 10.1093/bioinformatics/btz753

Table 3.

Performance of RNAIndel on two pediatric and three adult cancer datasets

Tumor N Library ReadLen Sequencer SomaticIndels* TPR Median #FP/Sample^
Median indels per sample
A B C
1 Pediatric 77 TotalRNA 100 HiSeq2000or 2500 s 17 0.882 3 3 2318
m 40 0.975 4 3 311
2 AML 158 Poly-A 75 HiSeq2000 s 22 0.954 2 1 1036
m 61 0.984 2 2 202
3 NSCLC 90 Poly-A 100 HiSeq1500 s 97 0.887 6 3 4 3171
m 68 0.941 7 4 4 394
4 RCC 91 Poly-A 50 HiSeq2000 s 130 0.877 8 5 5 4303
m 81 0.889 8 2 2 510
5 COAD (Hyper) 29 Poly-A 75 GAIIX s 120 0.392 20 20 999
m 53 0.953 11 10 141
COAD (NonHyper) 102 s 30 0.9 4 3 466
m 14 1.000 4 2 128

Note: TestSet 1 consists of 77 samples from 20 types of pediatric cancers (Supplementary Table S2). The tumor type for TestSet 2–5 uses the following abbreviation: AML for acute myeloid leukemia; NSCLC for non-small cell lung cancer; RCC for renal cell carcinoma; COAD for colon adenocarcinoma with hypermutator phenotype (Hyper) or without hypermutator phenotype (NonHyper). *s for single-nucleotide indel, m for multi-nucleotide indel. ^Median number of false positives (FP) in somatic prediction per sample is shown for the default (column A), filtered with normal RNA-Seq data (column B, available only for TestSet 3 and 4) and filtered with cohort recurrence in RNA-Seq (Supplementary Fig. S4).