The Pearson product‐moment correlation coefficient is better suited for identification of DNA fingerprint profiles than band matching algorithms

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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.