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. 2017 Jun 27;6(8):1–7. doi: 10.1093/gigascience/gix048

Table 1:

Benchmark run times of the Bio-Docklet pipeline containers with the CHIPseq and RNAseq pipelines, using as input large-scale NGS data downloaded from public databases

CHIP-seq (total: 31 GB) RNAseq (total: 43 GB)
Dataset location http://www.ebi.ac.uk/ena/data/view/ERR411994 http://www.ebi.ac.uk/ena/data/view/SRR1797219 (cancer cells)
http://www.ebi.ac.uk/ena/data/view/SRR1797228 (healthy cells)
Dataset details • ERR411994.fastq 192 465 714 single-end reads • SRR1797219_1.fastq - 47 209 075 forward reads, cancer cells
• SRR1797219_2.fastq - 47 209 075 reverse reads, cancer cells
• SRR1797228_1.fastq - 47 697 722 forward reads, healthy cells
• SRR1797228_2.fastq - 47 697 722 reverse reads, healthy cells
Running times (HH:MM:SS)
Lab server 7:16:34 20:10:38
AWS 6:09:16 16:50:11