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Table 1 CPU time and memory requirements for SiLiX and three state-of-the-art programs on the dataset of similarity pairs extracted from the HOGENOM database [9].

From: Ultra-fast sequence clustering from similarity networks with SiLiX

method

CPU (min)

RAM (GB)

SiLiX

138

0.4

SiLiX + hcluster_sg(100) [24]

552

23

hcluster_sg[24]

5604

99

MC-UPGMA[25]

>27000(1)

0.5

MCL[26]

>15000(2)

78

 

(1) estimated time (20 rounds took 2711 min., and 200 rounds were required in [25])

(2) manually stopped

 
  1. hcluster_sg(100) corresponds to the use of hcluster_sg on the largest families (more than 100 sequences) retrieved by SiLiX with permissive similarity thresholds (sequence identity 25% and alignment coverage 80%). SiLiX and MC-UPGMA run on a quadri-quadcore Xeon 2.66 GHz with 24 GB RAM, hcluster_sg and MCL on a octo-quadcore Opteron 2.3 GHz with 64 GB RAM.