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 |