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Nucleic Acids Research, 1984, Vol. 12, No. 1Part1 203-213
© 1984

MAIN-FRAME COMPUTERS

Use of statistical criteria for screening potential homologies in nucleic acid sequences

Minoru Kanehisa

Laboratory of Mathematical Biology, National Cancer Institute, National Institutes of Health Bethesda, MD 20205 Theoretical Division, University of California, Los Alamos National Laboratory Los Alamos, NM 87545, USA

Received August 15, 1983. We proposed a simple formula to assess the statistical significance of homologous segments found in comparison of two nucleic acid sequences (Goad and Kanehisa, Nucleic Acids Res. 10, 247–263, 1982). This paper clarifies the basic assumptions of the formula and its reliability is examined by Monte Carlo calculations. The results were satisfactory for random sequences. The formula is a useful measure for screening potentially interesting homologies and it can be implemented in any search algorithms. Examples are given for the screening procedure in the graphic display version of the Goad-Kanehisa algorithm.


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