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利用度量空间和模糊集研究遗传序列的熵/清晰度。

A study of entropy/clarity of genetic sequences using metric spaces and fuzzy sets.

机构信息

University of Patras, Department of Mathematics, 265 00 Patras, Greece.

出版信息

J Theor Biol. 2010 Nov 7;267(1):95-105. doi: 10.1016/j.jtbi.2010.08.010. Epub 2010 Aug 11.

Abstract

The study of genetic sequences is of great importance in biology and medicine. Sequence analysis and taxonomy are two major fields of application of bioinformatics. In the present paper we extend the notion of entropy and clarity to the use of different metrics and apply them in the case of the Fuzzy Polynuclotide Space (FPS). Applications of these notions on selected polynucleotides and complete genomes both in the I(12×k) space, but also using their representation in FPS are presented. Our results show that the values of fuzzy entropy/clarity are indicative of the degree of complexity necessary for the description of the polynucleotides in the FPS, although in the latter case the interpretation is slightly different than in the case of the I(12×k) hypercube. Fuzzy entropy/clarity along with the use of appropriate metrics can contribute to sequence analysis and taxonomy.

摘要

遗传序列的研究在生物学和医学中具有重要意义。序列分析和分类学是生物信息学的两个主要应用领域。在本文中,我们将熵和清晰度的概念扩展到使用不同的度量,并将其应用于模糊多核苷酸空间(FPS)的情况。这些概念在 I(12×k)空间中对选定的多核苷酸和完整基因组的应用,以及在 FPS 中的表示都进行了介绍。我们的结果表明,模糊熵/清晰度的值表明了在 FPS 中描述多核苷酸所需的复杂程度,尽管在后一种情况下的解释与 I(12×k)超立方体的情况略有不同。模糊熵/清晰度以及适当度量的使用可以有助于序列分析和分类学。

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