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BIOSYS-1: a FORTRAN program for the comprehensive analysis of electrophoretic data in population genetics and systematics

David L. Swofford, Richard Brent Selander

Open publisher page 2,336 citations

Abstract

BIOSYS-1 is a FORTRAN IV program designed to aid biochemical population geneticists and systematists in the analysis of electrophoretically detectable allelic variation. It can be used to compute allele frequencies and genetic variability measures, to test for deviation of genotype frequencies from Hardy-Weinberg expectations, to calculate F-statistics, to perform heterogeneity chi-square analysis, to calculate a variety of similarity and distance coefficients, and to construct dendrograms using cluster analysis and Wagner procedures. The program, documentation, and test data are available from the authors.

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What this paper is about

BIOSYS-1 is a FORTRAN IV program designed to aid biochemical population geneticists and systematists in the analysis of electrophoretically detectable allelic variation. It can be used to compute allele frequencies and genetic variability measures, to test for deviation of genotype frequencies from Hardy-Weinberg expectations, to calculate F-statistics, to perform heterogeneity chi-square analysis, to calculate a variety of similarity and distance coefficients, and to construct dendrograms using cluster analysis and Wagner procedures. The program, documentation, and test data are available from the authors.

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Available abstract

BIOSYS-1 is a FORTRAN IV program designed to aid biochemical population geneticists and systematists in the analysis of electrophoretically detectable allelic variation. It can be used to compute allele frequencies and genetic variability measures, to test for deviation of genotype frequencies from Hardy-Weinberg expectations, to calculate F-statistics, to perform heterogeneity chi-square analysis, to calculate a variety of similarity and distance coefficients, and to construct dendrograms using cluster analysis and Wagner procedures. The program, documentation, and test data are available from the authors.

Key concepts: Systematics, Fortran, Population, Library science, Biology, Genealogy, Genetics, Sociology

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