title: Fuzzy classification of nucleotide sequences and bacterial evolution.
abstract: A new method for reconstructing evolutionary relationship among bacteria by use of rRNA sequence data is proposed. The method is based on the concept of fuzzy classification of probabilities p(i), p(i/j) and p(i/j*) (i = A, G, C, U) of each sequence. The resulting partition tree shares common features of previous works but has some new peculiarities.
authors.affiliation: Department of Physics, Inner Mongolia University, Huhehote, China.
authors.forename: L
authors.initials: L
authors.lastname: Luo
authors.forename: F
authors.initials: F
authors.lastname: Ji
authors.forename: H
authors.initials: H
authors.lastname: Li
mesh_terms: D000818:Animals; D001419:Bacteria / Q000235:genetics*; D005075:Biological Evolution; D004269:DNA, Bacterial / Q000235:genetics; D017143:Fuzzy Logic; D006801:Humans; D008433:Mathematics; D012329:RNA, Bacterial / Q000235:genetics; D012335:RNA, Ribosomal / Q000235:genetics
chemical_list: D004269:DNA, Bacterial; D012329:RNA, Bacterial; D012335:RNA, Ribosomal