Predicting nucleosome positioning in genomes: Physical and bioinformatic approaches

In eukaryotic genomes, nucleosomes are responsible for packaging DNA and controlling gene expression. For this reason, an increasing interest is arising on computational methods capable of predicting the nucleosome positioning along genomes. In this review we describe and compare bioinformatic and physical approaches adopted to predict nucleosome occupancy along genomes. Computational analyses attempt at decoding the experimental nucleosome maps of genomes in terms of certain dinucleotide step periodicity observed along DNA. Such investigations show that highly significant information about the occurrence of a nucleosome along DNA is intrinsic in certain features of the sequence suggesting that DNA of eukaryotic genomes encodes nucleosome organization. Besides the bioinformatic approaches, physical models were proposed based on the sequence dependent conformational features of the DNA chain, which govern the free energy needed to transform recurrent DNA tracts along the genome into the nucleosomal shape.

Highlights► Theoretical models for predicting nucleosome positioning along genomes are reviewed. ► Bioinformatics and physical approaches are compared and discussed. ► Mechanical properties of DNA rule thermodynamic stability of nucleosomes. ► Nucleosomes are regularly spaced along genomes as required for chromatin fibers.