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. Author manuscript; available in PMC: 2009 May 1.
Published in final edited form as: Nat Biotechnol. 2008 Nov 2;26(11):1293–1300. doi: 10.1038/nbt.1505

Table 1.

A summary of NRSF ChIP-chip and ChIP-seq binding regions

Data and analysis
method
No. of
peaks
Peak with NRSF
motif
# Motif
/ 1kb
Region length percentiles (bp)
10 25 50 75 90
Affy-TileMap 7114 1001 (14.1%) 0.15 211 323 616 1274 2311
Seq-S1w100 3312 1277 (38.6%) 1.26 122 173 269 444 598
Seq-S1w100 (B) 3312 1223 (36.9%) 5.54 29 30 60 82 113
Seq-S1w100 (B+S) 1861 1051 (56.5%) 6.98 41 59 73 90 122
Seq-S2w100 3317 1280 (38.6%) 1.28 116 161 261 445 604
Seq-S2w100 (B) 3317 1211 (35.5%) 5.53 29 30 59 85 119
Seq-S2w100 (B+S) 1794 1041 (58.0%) 7.31 40 57 73 94 125

Note:

S1w100: one-sample analysis for ChIP-seq data, window length w=100bp.

S2w100: two-sample analysis for ChIP-seq data, window length w=100bp.

B: applying boundary refinement.

S: applying single strand filtering.

The choice of window size w=100 bp represents a tradeoff between sensitivity and specificity (see Methods). Methods for motif mapping are described in Supplementary Methods online. A likelihood ratio LR≥500 was used as the cutoff to define NRSF motif sites. To facilitate a fair comparison between different datasets, the TRANSFAC42 NRSF motif M00256 was used in the motif mapping. Using the NRSF motif recovered from de novo motif discovery did not change the results qualitatively (data not shown).