Literature DB >> 16945479

How to describe genes: enlightenment from the quaternary number system.

Bin-Guang Ma1.   

Abstract

As an open problem, computational gene identification has been widely studied, and many gene finders (software) become available today. However, little attention has been given to the problem of describing the common features of known genes in databanks to transform raw data into human understandable knowledge. In this paper, we draw attention to the task of describing genes and propose a trial implementation by treating DNA sequences as quaternary numbers. Under such a treatment, the common features of genes can be represented by a "position weight function", the core concept for a number system. In principle, the "position weight function" can be any real-valued function. In this paper, by approximating the function using trigonometric functions, some characteristic parameters indicating single nucleotide periodicities were obtained for the bacteria Escherichia coli K12's genome and the eukaryote yeast's genome. As a byproduct of this approach, a single-nucleotide-level measure is derived that complements codon-based indexes in describing the coding quality and expression level of an open reading frame (ORF). The ideas presented here have the potential to become a general methodology for biological sequence analysis.

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Year:  2006        PMID: 16945479     DOI: 10.1016/j.biosystems.2006.06.004

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


  2 in total

1.  Mining for genotype-phenotype relations in Saccharomyces using partial least squares.

Authors:  Tahir Mehmood; Harald Martens; Solve Saebø; Jonas Warringer; Lars Snipen
Journal:  BMC Bioinformatics       Date:  2011-08-03       Impact factor: 3.169

2.  DFA7, a new method to distinguish between intron-containing and intronless genes.

Authors:  Chenglong Yu; Mo Deng; Lu Zheng; Rong Lucy He; Jie Yang; Stephen S-T Yau
Journal:  PLoS One       Date:  2014-07-18       Impact factor: 3.240

  2 in total

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