ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2011
Comparisons of four approximation algorithms for large-scale linkage map construction.
Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Using linkage maps to correct and scaffold de novo genome assemblies: methods, challenges, and computational tools.Frontiers in genetics · 2015Review
- Article
- An Ultra-High-Density, Transcript-Based, Genetic Map of Lettuce.G3 (Bethesda, Md.) · 2013Article
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Authors and funding
4 authors.
Funding
Abstract
Efficient construction of large-scale linkage maps is highly desired in current gene mapping projects. To evaluate the performance of available approaches in the literature, four published methods, the insertion (IN), seriation (SER), neighbor mapping (NM), and unidirectional growth (UG) were compared on the basis of simulated F(2) data with various population sizes, interferences, missing genotype rates, and mis-genotyping rates. Simulation results showed that the IN method outperformed, or at least was comparable to, the other three methods. These algorithms were also applied to a real data set and results showed that the linkage order obtained by the IN algorithm was superior to the other methods. Thus, this study suggests that the IN method should be used when constructing large-scale linkage maps.
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Registered trials
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