New statistical approach to discriminate between protein coding and non-coding regions in DNA sequences and its evaluation.
We propose a new approach to study protein coding and non-coding regions in DNA sequences, by making use of two complementary statistical methods. The principal component analysis (PCA) is a graphical method to represent DNA sequences which are characterized by some quantitative parameters: it is a help to the intuition. The discriminating analysis (DA) is a quantitative method which permits to classify the DNA sequences. It leads to an evaluation of the first method and to a decision. The value of this approach has been confirmed since we also have found some results which had been described recently in the literature. Furthermore, this general methodology has permitted us to show the existence of parameters which identify the nucleic acid sequence functional domains, without having to make use of the properties of the genetic code.
D000818:Animals; D001483:Base Sequence; D003062:Codon; D004247:DNA / Q000235:genetics*; D005815:Genetic Code; D007448:Invertebrates; D008433:Mathematics; D011506:Proteins / Q000235:genetics*; D013223:Statistics as Topic; D014714:Vertebrates
D003062:Codon; D011506:Proteins; D004247:DNA