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We extracted 200 bp sequence segments centered at TF binding locations identified with ChIP-seq and compared them with control sequences (i.e. 500 bp sequence segments starting from nucleotide positions 400 bp away from both ends of 200 bp test sequence segments).
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Genome locations identified with ChIP for a specific TF often do not carry the primary or alternative binding motifs, but are enriched with binding motifs for other TFs (cofactors).
Binding locations were identified from above-threshold locations in the ChIP-Seq signal, as described in Supplementary Section S1.7.
With the correction, the estimated PICS binding site was within the PICS 95% approximate confidence interval for the FOXA1 binding site location identified by rGADEM; when no correction was done, the de novo motif was outside of this interval.
Trap locations were identified with a global positioning sensor.
P63 binding locations were then identified in each experiment under stringent conditions with MACS (cutoff p-value = 1e-10) [ 61].
Despite an overall fast turnover of TF binding locations between species, we identified thousands of TF regions of highly constrained TF binding intensity.
Additionally, SiteMap identified two binding locations under the third condition (at either end of the peptide), while the center of the peptide was excluded from the binding surface.
Bias in location of these insertions was not identified, with members of each clade represented across numerous chromosomes and locations.
One part of this goal lies in identifying the binding locations of transcription factors (TFs)—proteins that bind to DNA segments and regulate the expression of nearby genes.
Computational motif discovery methods are still needed to identify the binding locations of a TF in ChIP-seq or ChIP-exo data sets [ 7] in the high accuracy.
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