Abstract
This paper reports a genetic algorithm (GA) for individual assignment using multi-locus microsatellite genotyping. Its performance has been compared with existing frequency, Bayesian and distance-based methods using simulated as well as actual data. Simulated data has been generated with SIMCOAL program. Actual data has been generated from genotypes of four cattle breeds from India. The GA showed lower accuracy while assigning individuals from simulated data. Its performance was comparable to that of existing methods using actual data. © 2010 Springer-Verlag.
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Bhatia, A. K., Sodhi, M., Yadav, D. K., & Prakash, B. (2010). A genetic algorithm for assigning individuals to populations using multi-locus genotyping. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6457 LNCS, pp. 374–378). https://doi.org/10.1007/978-3-642-17298-4_39
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