Additional file 1: of TAP: a targeted clinical genomics pipeline for detecting transcript variants using RNA-seq data

Figure S1. Read classification by Bloom-filter vs alignment. Figure S2. Per-gene comparison of classification performance by BBT vs BWA-MEM. Figure S3. Effect of sequencing error rate on performance of read classification. Figure S4. Support level of gene fusions detected in Leucegene samples. Figure S5. Benchmarking of TAP and other fusion callers. Table S1. Alignment features used by PAVFinder for classifying various types of transcriptomic structural variants. Table S2. Block-vs-exon alignment characteristics used by PAVFinder to identify various classes of novel splice variants. Table S3. Software and command lines used in TAP and benchmark experiments. (PDF 1076 kb