A statistical thermodynamic approach for predicting the sequence-dependent nucleosome positioning along genomes
Author:
Publisher
Wiley
Subject
Organic Chemistry,Biomaterials,Biochemistry,General Medicine,Biophysics
Reference64 articles.
1. Genome-Scale Identification of Nucleosome Positions in S. cerevisiae
2. Distinct Modes of Regulation by Chromatin Encoded through Nucleosome Positioning Signals
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5. Nucleosome positions predicted through comparative genomics
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1. DeepNup: Prediction of Nucleosome Positioning from DNA Sequences Using Deep Neural Network;Genes;2022-10-30
2. The implication of DNA bending energy for nucleosome positioning and sliding;Scientific Reports;2018-06-11
3. A deformation energy-based model for predicting nucleosome dyads and occupancy;Scientific Reports;2016-04-07
4. Sequence-dependent collective properties of DNAs and their role in biological systems;Physics of Life Reviews;2013-03
5. Calculation of nucleosomal DNA deformation energy: its implication for nucleosome positioning;Chromosome Research;2012-10
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