Sentence examples for binding targets from a from inspiring English sources

The overlap between Rap1 knockout and binding targets from a different high-quality ChIP-chip data set [ 7] is as twice as that for the large-scale ChIP-chip data set [ 6].

This shows that our method can extract functional binding targets from the original ChIP-seq dataset.

Hence we randomly removed 18% of the original binding targets from the 72 analysable TFs as the random assignment of non-functional TF-gene binding targets.

Intuitive overlapping of the regulatory target genes inferred from TFPEs and the binding targets from the ChIP experiments can extract the direct regulatory targets of TFs.

Therefore, the final step in gold-standard creation required overlapping of the list of direct binding targets (from binding data) with the list of downstream functional targets (from expression data).

Therefore, the final step in gold standard creation required overlapping the list of direct binding targets (from binding data) with the list of downstream functional targets (from gene expression data).

Even with the low-quality ChIP-chip data, our method obtained 126 common targets for RAP1 between the binding targets and effectual ones, compared with 144 shared between the binding targets from high-quality ChIP-chip and effectual ones.

3) In this study we build gold-standards by intersecting the list of binding targets (from ChIP-seq/ChIP-chip/Chip-PET data) with the list of differentially expressed downstream targets (from gene expression data).

Most importantly, the HLP1 binding targets from the two sets of HLP1-CLIP libraries share significant overlap (P = 0, Supplementary information, Figure S6C), suggesting the reproducibility of the CLIP experiment.

Only 10 were in the intersection of the binding targets set from low-quality ChIP-chip data and effectual targets set with stringent P-value cutoffs.

Also only 16 appeared in the intersection of the binding targets set from high-quality ChIP-chip data and effectual targets set.