Nucleosome positioning is critical for gene expression and of major biological interest. The high cost of experimental mapping of nucleosomal arrangements signifies the need for computational approaches to predict nucleosome positioning at high resolution. Here, we present a web-based application to fulfill this need by implementing two models, W/S and YR schemes, for the rotational and translational positioning of nucleosomes respectively. Our methods are based on sequence-dependent anisotropic bending that dictates how DNA is wrapped around a histone octamer. This application allows users to specify a number of options such as schemes and parameters for threading calculation providemultiple layout options to adjust the scoring graphs and then exports the results into multiple formats including PDF, Excel, and CSV.
Library of Congress Subject Headings
Eukaryotic cells--Genetics; Genetic transcription--Data processing; Genetic regulation--Data processing
Department, Program, or Center
Thomas H. Gosnell School of Life Sciences (COS)
Gary R. Skuse
Alharbi, Bader, "NuMap: a web platform for prediction of nucleosome rotational and translational positioning at high resolution" (2014). Thesis. Rochester Institute of Technology. Accessed from
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