Literature DB >> 33412757

An information-theoretical analysis of gene nucleotide sequence structuredness for a selection of aging and cancer-related genes.

David Blokh1, Joseph Gitarts2, Ilia Stambler3.   

Abstract

We provide an algorithm for the construction and analysis of autocorrelation (information) functions of gene nucleotide sequences. As a measure of correlation between discrete random variables, we use normalized mutual information. The information functions are indicative of the degree of structuredness of gene sequences. We construct the information functions for selected gene sequences. We find a significant difference between information functions of genes of different types. We hypothesize that the features of information functions of gene nucleotide sequences are related to phenotypes of these genes.

Entities:  

Keywords:  : gene sequence; gene structuredness; information function; information theory; normalized mutual information

Year:  2020        PMID: 33412757      PMCID: PMC7808870          DOI: 10.5808/GI.2020.18.4.e41

Source DB:  PubMed          Journal:  Genomics Inform        ISSN: 1598-866X


  23 in total

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5.  MeShClust: an intelligent tool for clustering DNA sequences.

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Journal:  Nucleic Acids Res       Date:  2018-08-21       Impact factor: 16.971

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Authors:  Yoshiko Shimizu; Hugh Luk; David Horio; Penelope Miron; Michael Griswold; Dirk Iglehart; Brenda Hernandez; Jeffrey Killeen; Wael M ElShamy
Journal:  PLoS One       Date:  2012-04-12       Impact factor: 3.240

8.  Cyclin D1 overexpression correlates with poor tumor differentiation and prognosis in gastric cancer.

Authors:  Yan-Shen Shan; Hui-Ping Hsu; Ming-Derg Lai; Yu-Hsuan Hung; Chih-Yang Wang; Meng-Chi Yen; Yi-Ling Chen
Journal:  Oncol Lett       Date:  2017-08-09       Impact factor: 2.967

9.  An Information Theory Approach for the Analysis of Individual and Combined Evaluation Parameters of Multiple Age-Related Diseases.

Authors:  David Blokh; Ilia Stambler; Emilia Lubart; Eliyahu H Mizrahi
Journal:  Entropy (Basel)       Date:  2019-06-05       Impact factor: 2.524

10.  Comparison of co-expression measures: mutual information, correlation, and model based indices.

Authors:  Lin Song; Peter Langfelder; Steve Horvath
Journal:  BMC Bioinformatics       Date:  2012-12-09       Impact factor: 3.169

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