ml‐relate: a computer program for maximum likelihood estimation of relatedness and relationship
By Steven T. Kalinowski, Aaron P. Wagner, Mark L. Taper. 2006
993 citations recorded by the source corpus.
Subfields: Genetics
View Paper: https://www.semanticscholar.org/paper/a9f7a8de8b8e82790e2f0d0042ecc29537bdaf90
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In Genetics
- Jinliang Wang
- T. Marshall
- Steven T. Kalinowski
- Mark L. Taper
- Paul H. Muir
- Jack Pew
- Timothy R. Frasier
- Komal Sanjeev
Citations in the corpus
- related: an R package for analysing pairwise relatedness from codominant molecular markers (2015, background): “As a result of this importance, many computer programs have been written, allowing users to estimate the relatedness of individuals based on codominant molecular markers (e.g. Queller & Goodnight 1989; Wang 2002; Kalinowski et al. 2006).”
- Maximum likelihood estimation of the frequency of null alleles at microsatellite loci (2006, methodology): “For example, Wagner et al. (2006) and Kalinowski et al. (2006) have developed a statistical method and software for accommodating null alleles while estimating genealogical relationship.”
- Maximum Likelihood Estimation of Biological Relatedness from Low Coverage Sequencing Data (2015, methodology): “This framework has been applied to microsatellite loci with multiple alleles [15], and, with the advent of SNP microarrays, single base loci with two alleles (i.”
- Revising how the computer program cervus accommodates genotyping error increases success in paternity assignment (2007, background): “Simple errors, such as those caused by null alleles can easily be accounted for in paternity tests (Kalinowski & Taper 2006; Kalinowski et al. 2006c; Wagner et al. 2006), but other errors present a greater challenge.”
- coancestry: a program for simulating, estimating and analysing relatedness and inbreeding coefficients (2011, methodology): “One is described by Milligan (2003), but only the reduced three-parameter model of non-inbreeding was implemented (as in ML_RELATE, Kalinowski et al. 2006).”