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. 2017 Mar 21;3(1):15. doi: 10.3390/ncrna3010015

Table 1.

Bioinformatic pipeline speed evaluation. The table shows the speeds of our bioinformatic pipeline for four different runs on a bam file having ~200 million 76 nt-long stranded RNA-seq paired-end reads aligned to the human genome (GRCh37). The number of SINEs having an expression coverage over the calculated background signal (column 3) arises from different ‘-bg’ parameters in column 1 (see text for details). The step in the pipeline for expression coverage vector creation from the supplied bam file took almost 2 h.

-bg SINEs Analysed SINEs over Background Identified Genuine Pol-III SINEs Total Run Time (h)
3 430 k 2872 42 2.6
2 430 k 4576 119 2.8
3 1100 k 44,973 175 6.9
2 1100 k 64,425 463 10.9