Literature DB >> 20206172

Computational prediction of nucleosome positioning by calculating the relative fragment frequency index of nucleosomal sequences.

Ryu Ogawa1, Noriyuki Kitagawa, Hiroki Ashida, Rintaro Saito, Masaru Tomita.   

Abstract

We developed an accurate method to predict nucleosome positioning from genome sequences by refining the previously developed method of Peckham et al. (2007). Here, we used the relative fragment frequency index we developed and a support vector machine to screen for nucleosomal and linker DNA sequences. Our twofold cross-validation revealed that the accuracy of our method based on the area under the receiver operating characteristic curve was 81%, whereas that of Peckham's method was 75% when both of two nucleosomal sequence data obtained from independent experiments were used for validation. We suggest that our method is more effective in predicting nucleosome positioning. Copyright 2010 Federation of European Biochemical Societies. Published by Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20206172     DOI: 10.1016/j.febslet.2010.02.067

Source DB:  PubMed          Journal:  FEBS Lett        ISSN: 0014-5793            Impact factor:   4.124


  3 in total

1.  Evolutionary mechanism and biological functions of 8-mers containing CG dinucleotide in yeast.

Authors:  Yan Zheng; Hong Li; Yue Wang; Hu Meng; Qiang Zhang; Xiaoqing Zhao
Journal:  Chromosome Res       Date:  2017-02-09       Impact factor: 5.239

2.  Structural constraints revealed in consistent nucleosome positions in the genome of S. cerevisiae.

Authors:  Christoforos Nikolaou; Sonja Althammer; Miguel Beato; Roderic Guigó
Journal:  Epigenetics Chromatin       Date:  2010-11-12       Impact factor: 4.954

3.  Prediction of nucleosome positioning by the incorporation of frequencies and distributions of three different nucleotide segment lengths into a general pseudo k-tuple nucleotide composition.

Authors:  Akinori Awazu
Journal:  Bioinformatics       Date:  2016-08-25       Impact factor: 6.937

  3 in total

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