title: The Pearson product-moment correlation coefficient is better suited for identification of DNA fingerprint profiles than band matching algorithms.
abstract: A database of DNA fingerprint profiles from permanently established human and animal cell lines was prepared with a computer program originally designed for numerical taxonomy of bacteria. Identifications of cell line DNA profiles were performed, both by the Pearson product-moment correlation coefficient and by band matching. Under the conditions used the Pearson product-moment correlation coefficient was consistently more reliable.
authors.affiliation: German Collection of Microorganisms and Cell Cultures, Braunschweig.
authors.forename: B G
authors.initials: BG
authors.lastname: Häne
authors.forename: K
authors.initials: K
authors.lastname: Jäger
authors.forename: H G
authors.initials: HG
authors.lastname: Drexler
mesh_terms: D000465:Algorithms; D000818:Animals; D001483:Base Sequence; D002460:Cell Line; D002871:Chromosome Banding; D016172:DNA Fingerprinting; D003627:Data Interpretation, Statistical; D016208:Databases, Factual; D003720:Densitometry; D006801:Humans; D008969:Molecular Sequence Data; D015203:Reproducibility of Results