Genome-wide identification of the regulatory targets of a transcription factor using biochemical characterization and computational genomic analysis

Genome-wide identification of the regulatory targets of a transcription factor using biochemical characterization and computational genomic analysis

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Dog Wet Abstract Background A major challenge in computational genomics is the development of methodologies that allow accurate genome-wide prediction of the regulatory targets of a transcription factor.We present a method for target identification that combines experimental characterization of binding requirements with computational genomic analysis.Results Our method identified potential target genes of the transcription factor Ndt80, a key transcriptional regulator involved in yeast sporulation, using the combined information of binding affinity, positional distribution, and conservation of the binding sites across multiple species.We have also developed a mathematical approach to compute the false positive rate and the total number of targets in Wrestling - Clothing - Mens the genome based on the multiple selection criteria.Conclusion We have shown that combining biochemical characterization and computational genomic analysis leads to accurate identification of the genome-wide targets of a transcription factor.

The method can be extended to other transcription factors and can complement other genomic approaches to transcriptional regulation.