Literature DB >> 20953693

Prediction of nucleosome DNA formation potential and nucleosome positioning using increment of diversity combined with quadratic discriminant analysis.

Xiujuan Zhao1, Zhiyong Pei, Jia Liu, Sheng Qin, Lu Cai.   

Abstract

In this work, a novel method was developed to distinguish nucleosome DNA and linker DNA based on increment of diversity combined with quadratic discriminant analysis (IDQD), using k-mer frequency of nucleotides in genome. When used to predict DNA potential for forming nucleosomes, the model achieved a high accuracy of 94.94%, 77.60%, and 86.81%, respectively, for Saccharomyces cerevisiae, Homo sapiens, and Drosophila melanogaster. The area under the receiver operator characteristics curve of our classifier was 0.982 for S. cerevisiae. Our results indicate that DNA sequence preference is critical for nucleosome formation potential and is likely conserved across eukaryotes. The model successfully identified nucleosome-enriched or nucleosome-depleted regions in S. cerevisiae genome, suggesting nucleosome positioning depends on DNA sequence preference. Thus, IDQD classifier is useful for predicting nucleosome positioning.

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Year:  2010        PMID: 20953693     DOI: 10.1007/s10577-010-9160-9

Source DB:  PubMed          Journal:  Chromosome Res        ISSN: 0967-3849            Impact factor:   5.239


  46 in total

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Journal:  Cell       Date:  2005-08-26       Impact factor: 41.582

3.  Genome-scale identification of nucleosome positions in S. cerevisiae.

Authors:  Guo-Cheng Yuan; Yuen-Jong Liu; Michael F Dion; Michael D Slack; Lani F Wu; Steven J Altschuler; Oliver J Rando
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4.  Experiments confirm the influence of genome long-range correlations on nucleosome positioning.

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Journal:  Phys Rev Lett       Date:  2007-11-21       Impact factor: 9.161

5.  Distinct and predictive chromatin signatures of transcriptional promoters and enhancers in the human genome.

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Journal:  Nat Genet       Date:  2007-02-04       Impact factor: 38.330

6.  Crystal structure of the nucleosome core particle at 2.8 A resolution.

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8.  Nucleosome positions predicted through comparative genomics.

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Journal:  Nat Genet       Date:  2006-09-10       Impact factor: 38.330

9.  A high-resolution atlas of nucleosome occupancy in yeast.

Authors:  William Lee; Desiree Tillo; Nicolas Bray; Randall H Morse; Ronald W Davis; Timothy R Hughes; Corey Nislow
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10.  Nucleosomes are well positioned in exons and carry characteristic histone modifications.

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  7 in total

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2.  Predicting nucleosome binding motif set and analyzing their distributions around functional sites of human genes.

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3.  ZCMM: A Novel Method Using Z-Curve Theory- Based and Position Weight Matrix for Predicting Nucleosome Positioning.

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Journal:  Genes (Basel)       Date:  2019-09-28       Impact factor: 4.096

4.  A deformation energy model reveals sequence-dependent property of nucleosome positioning.

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Journal:  Chromosoma       Date:  2021-01-16       Impact factor: 4.316

5.  Circ-LocNet: A Computational Framework for Circular RNA Sub-Cellular Localization Prediction.

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6.  Nucleosome Positioning with Set of Key Positions and Nucleosome Affinity.

Authors:  Jia Wang; Shuai Liu; Weina Fu
Journal:  Open Biomed Eng J       Date:  2014-12-31

7.  Predicting Bacteriophage Enzymes and Hydrolases by Using Combined Features.

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Journal:  Front Bioeng Biotechnol       Date:  2020-03-24
  7 in total

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