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Statistical Analysis of Genetic Distance Data

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Abstract

Homology between biological objects (DNA sequences, species, etc.) can be measured by genetic distance data. A genetic distance may be computed from aligned genetic sequence data; e.g. DNA sequences. We discuss the dot-matrix plot as a possible graphical check of the goodness of the alignment. The assumption of identical distributions along the sequence positions is often inappropriate. Therefore, we discuss aspects of an heuristic which allows the combined exploration of genetic distance between the sequences and of different positional variation. A tree structure is not assumed for such an exploration. Having computed a genetic distance, phylogenetic relations may be analysed by three- and four-objects methods. The approach is illustrated by a set of tRNA sequences.

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© 1991 Springer-Verlag Berlin · Heidelberg

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Lausen, B. (1991). Statistical Analysis of Genetic Distance Data. In: Bock, HH., Ihm, P. (eds) Classification, Data Analysis, and Knowledge Organization. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-76307-6_34

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  • DOI: https://doi.org/10.1007/978-3-642-76307-6_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-53483-9

  • Online ISBN: 978-3-642-76307-6

  • eBook Packages: Springer Book Archive

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