Literature DB >> 8763366

High statistics block entropy measures of DNA sequences.

P Liò1, A Politi, M Buiatti, S Ruffo.   

Abstract

We have used an improved block-entropy measure in order to gain some further insights into the short-range correlations present in whole chromosomes of S. cerevisiae, viruses and organelles and very large genomic regions of E. coli. Although DNA sequences are largely inhomogeneous and word frequencies are unevenly distributed, the comparison of entire chromosomes and large genomic regions show a "bulk" composition homogeneity. This property suggests that biases in selection, directional mutational pressure and recombination processes act in homogenizing the base composition of the DNA molecules within a genome but their mode of action, relative impact and direction may vary in different organisms. The most interesting results appear to be the differences between the SW (C,G/A,T) and RY (A,G/C,T) two-letter alphabet entropies. Deviations from randomness in E. coli and S. cerevisiae sequences particularly concern SW dinucleotide frequencies and RY tetranucleotide frequencies.

Entities:  

Mesh:

Year:  1996        PMID: 8763366     DOI: 10.1006/jtbi.1996.0091

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  2 in total

Review 1.  Information theory applications for biological sequence analysis.

Authors:  Susana Vinga
Journal:  Brief Bioinform       Date:  2013-09-20       Impact factor: 11.622

2.  Conservation analysis of dengue virus T-cell epitope-based vaccine candidates using Peptide block entropy.

Authors:  Lars Rønn Olsen; Guang Lan Zhang; Derin B Keskin; Ellis L Reinherz; Vladimir Brusic
Journal:  Front Immunol       Date:  2011-12-20       Impact factor: 7.561

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.