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However, for Pol II binding data derived from ChIP-seq, these approaches cannot be used to estimate the status change.
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The technique utilizes a genetic algorithm (GA) to optimize functions based on binding property data derived from multiple virtual screening calculations.
Whole-genome transcription factor (TF) binding site data derived from chromatin immunoprecipitation sequencing (ChIP-Seq) was obtained from the ENCODE regulation super-track [ 11] via the UCSC Genome Browser.
These binding profiles were integrated with gene expression data derived from cells before and after FOXM1 knockdown to highlight specific FOXM1 transcriptional networks.
We inspected 13 binding sites in 10 transcription factors and predicted 4 druggable sites (Table 1, data derived from ref. 24).
For these two reasons, the gene set based method cannot fully utilize the TF binding information derived from ChIP-seq data and is ultimately less robust than REACTIN, as has been shown by our results (Additional file 5: Table S5 and Additional file 7: Table S7).
Data derived from [20].
All data derived from Fig. 6.
Data derived from population 3 above.
Data derived from ISOGG on July 2013.
Biographical data derived from course registration information.
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