On the mutation model used in the fingerprinting DNA
Author:
Affiliation:
1. Chair of Intelligent Systems , Maria Curie-Sklodowska University , Lublin , Poland
2. Chair of Neuroinformatics and Biomedical Engineering , Maria Curie-Sklodowska University , Lublin , Poland
Abstract
Publisher
Walter de Gruyter GmbH
Subject
Health Informatics,Biochemistry, Genetics and Molecular Biology (miscellaneous),Medicine (miscellaneous),General Computer Science
Link
https://www.degruyter.com/document/doi/10.1515/bams-2020-0057/pdf
Reference13 articles.
1. Krajka, T. Mutation rate model used in the dna view program. Appl Sci 2020;10:3585. https://doi.org/10.3390/app10103585.
2. Xu, X, Peng, M, Fang, Z, Xu, X. The direction of microsatellite mutations is dependent upon allele length. Nature genetics 2000;24:396–9. https://doi.org/10.1038/74238.
3. Harr, B, Schlötterer, C. Long microsatellite alleles in drosophila melanogaster have a downward mutation bias and short persistence times, which cause their genome-wide underrepresentation. Genetics 2000;155:1213–20.
4. Huang, Q-Y, Xu, F-H, Shen, H, Deng, H-Y, Liu, Y-J, Liu, Y-Z, et al.. Mutation patterns at dinucleotide microsatellite loci in humans. Am J Hum Genet 2002;70:625–34. https://doi.org/10.1086/338997.
5. Whittaker, JC. Likelihood-based estimation of microsatellite mutation rates. Genetics 2003;2:781–7.
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