A nearest-neighboring-end algorithm for genetic mapping
نویسندگان
چکیده
منابع مشابه
A nearest-neighboring-end algorithm for genetic mapping
MOTIVATION High-throughput methods are beginning to make possible the genotyping of thousands of loci in thousands of individuals, which could be useful for tightly associating phenotypes to candidate loci. Current mapping algorithms cannot handle so many data without building hierarchies of framework maps. RESULTS A version of Kruskal's minimum spanning tree algorithm can solve any genetic m...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2004
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/bti164