title: Fourier and wavelet transform analysis, a tool for visualizing regular patterns in DNA sequences.
abstract: A correlation function that compares each base in a DNA sequence to its various neighbours and which is subsequently processed by Fourier and wavelet transforms has been developed. The procedure has been applied to sequences from the human chromosome 22, to nef genes from various HIV clones and to myosin heavy chain DNA. It permits to readily visualize regular features in DNA which are related to the stability of heteroduplexes formed upon strand slippage.
authors.affiliation: ITODYS, associé au CNRS, Université Denis Diderot, Paris, France.
authors.forename: G
authors.initials: G
authors.lastname: Dodin
authors.forename: P
authors.initials: P
authors.lastname: Vandergheynst
authors.forename: P
authors.initials: P
authors.lastname: Levoir
authors.forename: C
authors.initials: C
authors.lastname: Cordier
authors.forename: L
authors.initials: L
authors.lastname: Marcourt
mesh_terms: D000818:Animals; D002892:Chromosomes, Human, Pair 22; D005583:Fourier Analysis; D015693:Gene Products, nef; D005814:Genes, Viral; D006678:HIV / Q000235:genetics; D006801:Humans; D018995:Myosin Heavy Chains / Q000235:genetics; D017422:Sequence Analysis, DNA / Q000379:methods*; D054311:nef Gene Products, Human Immunodeficiency Virus
chemical_list: D015693:Gene Products, nef; D054311:nef Gene Products, Human Immunodeficiency Virus; D018995:Myosin Heavy Chains