Abstract
In kinship inference, we identify genealogical relationships among organisms. One such problem is sibgroup reconstruction: given a population of same-generation individuals, partition it into sibgroups resulting from mating events. Minimizing the number of matings is NP-hard to approximate, yet a simple heuristic, based on identifying population triplets that can be from the same sibgroup, performs comparably to better than integer programming algorithms in a fraction of the running time. With high probability if we study many loci in the genome, and large populations, our polynomial-time heuristic finds the true sibgroups, assuming a standard probabilistic inheritance model.
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Brown, D.G., Berger-Wolf, T. (2010). Discovering Kinship through Small Subsets. In: Moulton, V., Singh, M. (eds) Algorithms in Bioinformatics. WABI 2010. Lecture Notes in Computer Science(), vol 6293. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15294-8_10
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DOI: https://doi.org/10.1007/978-3-642-15294-8_10
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