Literature DB >> 16108085

Shannon information in complete genomes.

Chang-Heng Chang1, Li-Ching Hsieh, Ta-Yuan Chen, Hong-Da Chen, Liaofu Luo, Hoong-Chien Lee.   

Abstract

Shannon information in the genomes of all completely sequenced prokaryotes and eukaryotes are measured in word lengths of two to ten letters. It is found that in a scale-dependent way, the Shannon information in complete genomes are much greater than that in matching random sequences--thousands of times greater in the case of short words. Furthermore, with the exception of the 14 chromosomes of Plasmodium falciparum, the Shannon information in all available complete genomes belong to a universality class given by an extremely simple formula. The data are consistent with a model for genome growth composed of two main ingredients: random segmental duplications that increase the Shannon information in a scale-independent way, and random point mutations that preferentially reduces the larger-scale Shannon information. The inference drawn from the present study is that the large-scale and coarse-grained growth of genomes was selectively neutral and this suggests an independent corroboration of Kimura's neutral theory of evolution.

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Year:  2005        PMID: 16108085     DOI: 10.1142/s0219720005001181

Source DB:  PubMed          Journal:  J Bioinform Comput Biol        ISSN: 0219-7200            Impact factor:   1.122


  9 in total

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Authors:  Alaguraj Veluchamy; Preeti Mehta; K V Srividhya; Hirendra Vikram; M K Govind; Ramneek Gupta; Abdul Aziz Bin Dukhyil; Raed Abdullah Alharbi; Saleh Abdullah Aloyuni; Mohamed M Hassan; S Krishnaswamy
Journal:  Saudi J Biol Sci       Date:  2020-12-31       Impact factor: 4.219

2.  Applying Shannon's information theory to bacterial and phage genomes and metagenomes.

Authors:  Sajia Akhter; Barbara A Bailey; Peter Salamon; Ramy K Aziz; Robert A Edwards
Journal:  Sci Rep       Date:  2013-01-08       Impact factor: 4.379

Review 3.  Mathematical and computational modeling in biology at multiple scales.

Authors:  Jack A Tuszynski; Philip Winter; Diana White; Chih-Yuan Tseng; Kamlesh K Sahu; Francesco Gentile; Ivana Spasevska; Sara Ibrahim Omar; Niloofar Nayebi; Cassandra Dm Churchill; Mariusz Klobukowski; Rabab M Abou El-Magd
Journal:  Theor Biol Med Model       Date:  2014-12-27       Impact factor: 2.432

4.  Relationship between digital information and thermodynamic stability in bacterial genomes.

Authors:  Dawit Nigatu; Werner Henkel; Patrick Sobetzko; Georgi Muskhelishvili
Journal:  EURASIP J Bioinform Syst Biol       Date:  2016-02-02

5.  Comparative analysis of transcription start sites using mutual information.

Authors:  D Ashok Reddy; Chanchal K Mitra
Journal:  Genomics Proteomics Bioinformatics       Date:  2006-08       Impact factor: 7.691

6.  Kullback Leibler divergence in complete bacterial and phage genomes.

Authors:  Sajia Akhter; Ramy K Aziz; Mona T Kashef; Eslam S Ibrahim; Barbara Bailey; Robert A Edwards
Journal:  PeerJ       Date:  2017-11-30       Impact factor: 2.984

7.  Information Theory in Computational Biology: Where We Stand Today.

Authors:  Pritam Chanda; Eduardo Costa; Jie Hu; Shravan Sukumar; John Van Hemert; Rasna Walia
Journal:  Entropy (Basel)       Date:  2020-06-06       Impact factor: 2.524

8.  Inverse symmetry in complete genomes and whole-genome inverse duplication.

Authors:  Sing-Guan Kong; Wen-Lang Fan; Hong-Da Chen; Zi-Ting Hsu; Nengji Zhou; Bo Zheng; Hoong-Chien Lee
Journal:  PLoS One       Date:  2009-11-09       Impact factor: 3.240

9.  Extracting DNA words based on the sequence features: non-uniform distribution and integrity.

Authors:  Zhi Li; Hongyan Cao; Yuehua Cui; Yanbo Zhang
Journal:  Theor Biol Med Model       Date:  2016-01-25       Impact factor: 2.432

  9 in total

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