title: Non-parametric statistics for nucleic acid sequence study.
abstract: The use of non-parametric statistics for nucleic acid sequence studies is illustrated by some examples. This method is highly flexible and allows design of specific tests for detecting sequence structure. Tests devoted to local repetitivity, codon nearest neighbors, and dinucleotide avoidance are discussed in detail. An appendix indicates all computations required to use these tests.
authors.forename: C
authors.initials: C
authors.lastname: Gautier
authors.forename: M
authors.initials: M
authors.lastname: Gouy
authors.forename: S
authors.initials: S
authors.lastname: Louail
mesh_terms: D000818:Animals; D001426:Bacterial Proteins / Q000032:analysis; D001483:Base Sequence; D003201:Computers; D015226:Dinucleoside Phosphates; D005914:Globins / Q000235:genetics; D008433:Mathematics; D009841:Oligonucleotides / Q000032:analysis; D002679:Pan troglodytes; D012091:Repetitive Sequences, Nucleic Acid; D012984:Software; D013223:Statistics as Topic
chemical_list: D001426:Bacterial Proteins; D015226:Dinucleoside Phosphates; D009841:Oligonucleotides; D005914:Globins