Comparative statistics for DNA and protein sequences: single sequence analysis

• Published in: Proceedings of the National Academy of Sciences - PNAS Vol. 82; no. 17; pp. 5800 - 5804
• Main Authors: Karlin, S, Ghandour, G
• Format: Journal Article
• Language: English
• Published: Washington, DC National Academy of Sciences of the United States of America 01.09.1985; National Acad Sciences
• Subjects: Amino Acid Sequence; amino acid sequences; Amino acids; Animals; Base Sequence; Biological and medical sciences; Biological evolution; comparisons; DNA; DNA, Mitochondrial - genetics; Epstein Barr virus infections; equations; Evolution; Fundamental and applied biological sciences. Psychology; Genetic mutation; Genetics of eukaryotes. Biological and molecular evolution; Genomes; Globins - genetics; Herpesvirus 4, Human - genetics; Immunoglobulins - genetics; Introns; mathematical models; Mathematical sequences; nucleotide sequences; Oligonucleotides; Papillomaviridae - genetics; Polyomaviridae; probability analysis; Proteins; Repetitive Sequences, Nucleic Acid; sequence homology; Statistical significance; Statistics as Topic; Proteins; Virus; Molecular evolution; Mitochondria; Animal; DNA; Biological evolution; Homology; Primary structure; Statistical study
• ISSN: 0027-8424; 1091-6490
• DOI: 10.1073/pnas.82.17.5800

Four categories of data representations are used to help interpret structures and similarities of nucleic acid and protein sequences. Statistical significance of the observed relationships revealed by these representations are assessed by a hierarchy of permutation procedures and by comparisons with theoretical random models. Applications are presented for various DNA sequences including papovaviruses, Epstein-Barr virus, mitochondrial genomes, and several globin and immunoglobulin genes.