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Table 2 Performance comparison of Maha-Fs and SGI-UV300

From: Integrated genome sizing (IGS) approach for the parallelization of whole genome analysis

Method Process Steps Maha-Fs SGI-UV300
Core:Memory 4:12 16:64 4:12 16:64
mapping 1. split 35.1 37.7 7.1 7.1
2. sickle 1.2 0.4 2.2 0.2
3. BWA-MEM 9.4 2.5 7.6 3.1
4. Picard-Fix Mate Information 2.6 1.9 4.3 2.7
recalibration 5. Picard-Mark Duplicates 1.5 1.1 7.3 2.7
6. GATK-RealignerTarget Creator 2.9 1.8 4.2 2.7
7. GATK-Indel Re-aligner 1.6 1.1 2.7 1.7
8. GATK-Base Re-calibrator 2.1 1.0 5.5 1.1
9. GATK-Print Reads 2.9 2.2 7.4 3.2
10. GATK-Haplotype Caller 8.0 5.6 10.8 8.1
Time Total process time (min) 79.8 55.2 59.0 32.5