Literature DB >> 16802083

Information capacity of nucleotide sequences and its applications.

M G Sadovsky1.   

Abstract

The information capacity of nucleotide sequences is defined through the specific entropy of frequency dictionary of a sequence determined with respect to another one containing the most probable continuations of shorter strings. This measure distinguishes a sequence both from a random one, and from ordered entity. A comparison of sequences based on their information capacity is studied. An order within the genetic entities is found at the length scale ranged from 3 to 8. Some other applications of the developed methodology to genetics, bioinformatics, and molecular biology are discussed.

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Year:  2006        PMID: 16802083     DOI: 10.1007/s11538-005-9017-0

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  3 in total

Review 1.  Genes, information and sense: complexity and knowledge retrieval.

Authors:  Michael G Sadovsky; Julia A Putintseva; Alexander S Shchepanovsky
Journal:  Theory Biosci       Date:  2008-04-29       Impact factor: 1.919

2.  Relative entropy differences in bacterial chromosomes, plasmids, phages and genomic islands.

Authors:  Jon Bohlin; Mark W J van Passel; Lars Snipen; Anja B Kristoffersen; David Ussery; Simon P Hardy
Journal:  BMC Genomics       Date:  2012-02-10       Impact factor: 3.969

3.  DistAMo: A Web-Based Tool to Characterize DNA-Motif Distribution on Bacterial Chromosomes.

Authors:  Patrick Sobetzko; Lukas Jelonek; Marc Strickert; Wenxia Han; Alexander Goesmann; Torsten Waldminghaus
Journal:  Front Microbiol       Date:  2016-03-11       Impact factor: 5.640

  3 in total

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