Research Article

PairMotifChIP: A Fast Algorithm for Discovery of Patterns Conserved in Large ChIP-seq Data Sets

Table 5

Running time and identification accuracy on the second group of simulated data sets.

Sequence #PairMotifChIPF-motifPairMotif+

950014.4 s (0.955)7.8 s (0.955)68.1 s (0.628)
100060.6 s (0.945)17.2 s (0.945)410.1 s (0.945)
1500133.3 s (0.953)27.8 s (0.953)989.9 s (0.953)
2000231.4 s (0.953)40.0 s (0.953)1704.1 s (0.953)
2500361.4 s (0.951)52.8 s (0.951)3012.7 s (0.951)
3000519.2 s (0.955)67.2 s (0.955)4307.4 s (0.955)

1550017.9 s (0.986)13581.7 s (0.986)14394.4 s (0.986)
100074.8 s (0.983)30293.2 s (0.983)35172.2 s (0.983)
1500150.9 s (0.980)50102.5 s (0.980)
2000253.0 s (0.981)66344.7 s (0.981)
2500396.9 s (0.982)
3000554.4 s (0.981)

2150022.9 s (0.995)
100090.5 s (0.996)
1500171.6 s (0.995)
2000277.2 s (0.995)
2500423.8 s (0.996)
3000592.2 s (0.996)

Note. s: seconds; —: over 24 hours. The number after each running time is the corresponding nucleotide-level identification accuracy nCC.