A study of entropy/clarity of genetic sequences using metric spaces and fuzzy sets.
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.
Georgiou
D N
DN
University of Patras, Department of Mathematics, 265 00 Patras, Greece.
Karakasidis
T E
TE
Nieto
Juan J
JJ
Torres
A
A
D001483:Base Sequence; D002965:Classification; D019277:Entropy; D017143:Fuzzy Logic; D005796:Genes; D016678:Genome; D011119:Polynucleotides
D011119:Polynucleotides