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Journal of Computer Science & Systems Biology

ISSN: 0974-7230

Open Access

Byung Guk Kim

Department of Information Systems, College of Computing and Information Technology, King Abdul-Aziz University, Jeddah, Saudi Arabia

Publications
  • Research Article   
    Binary Transition Pattern (BTP) for Erythropoietic DNA Methylation Data
    Author(s): Najyah Garoot* and Byung Guk Kim

    Objective: Despite whole-genome data analysis for understanding the implications of differential DNA methylation patterns and the nature of their correlation with gene expression (GE) regulation, the observations remain controversial. Methods: Unlike the usual methods of selecting differentially methylated regions (DMR) by hypothesis statistical testing, we clustered CpG sites by their actual log2FC over time. Each cluster is represented by a 5-digit binary code. Results: We identified novel stage-specific TFBS during erythropoiesis. Our stage-specific differential methylation clusters have the ability to determine TFBS of co-regulators such as GATA1 and PU.1 at hypermethylated CpG loci. Conclusion: Hypomethylated CpG loci clusters that are associated with GE upregulation are in.. Read More»

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Citations: 2279

Journal of Computer Science & Systems Biology received 2279 citations as per Google Scholar report

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