title: [Statistical analysis of DNA sequences nearby splicing sites].
abstract: Recognition of coding regions within eukaryotic genomes is one of oldest but yet not solved problems of bioinformatics. New high-accuracy methods of splicing sites recognition are needed to solve this problem. A question of current interest is to identify specific features of nucleotide sequences nearby splicing sites and recognize sites in sequence context. We performed a statistical analysis of human genes fragment database and revealed some characteristics of nucleotide sequences in splicing sites neighborhood. Frequencies of all nucleotides and dinucleotides in splicing sites environment were computed and nucleotides and dinucleotides with extremely high\low occurrences were identified. Statistical information obtained in this work can be used in further development of the methods of splicing sites annotation and exon-intron structure recognition.
authors.forename: O M
authors.initials: OM
authors.lastname: Korzinov
authors.forename: T V
authors.initials: TV
authors.lastname: Astakhova
authors.forename: P K
authors.initials: PK
authors.lastname: Vlasov
authors.forename: M A
authors.initials: MA
authors.lastname: Roĭtberg
mesh_terms: D003627:Data Interpretation, Statistical; D030541:Databases, Genetic; D015894:Genome, Human / Q000235:genetics*; D006801:Humans; D016366:Open Reading Frames / Q000235:genetics*; D022821:RNA Splice Sites / Q000235:genetics*; D012326:RNA Splicing / Q000235:genetics*; D017422:Sequence Analysis, DNA / Q000379:methods
chemical_list: D022821:RNA Splice Sites