<span class="paragraphSection"><div class="boxTitle">Abstract</div>An earlier software application of ours, TetraploidMap for Windows, enabled linkage analysis and quantitative trait locus interval mapping to be carried out in an experimental cross of an autotetraploid species, using both dominant markers such as amplified fragment length polymorphisms and codominant markers such as simple sequence repeats. The size was limited to 800 markers, and quantitative trait locus mapping was conducted for each parent separately due to the difficulties in obtaining a reliable consensus map for the 2 parents. Modern genotyping technologies now give rise to datasets of thousands of single nucleotide polymorphisms, and these can be scored in autotetraploid species as single nucleotide polymorphism dosages, distinguishing among the heterozygotes AAAB, AABB, and ABBB, rather than simply using the presence or absence of an allele. The dosage data is more informative about recombination and leads to higher density linkage maps. The current program, TetraploidSNPMap, makes full use of the dosage data, and has new facilities for displaying the clustering of single nucleotide polymorphisms, rapid ordering of large numbers of single nucleotide polymorphisms using a multidimensional scaling analysis, and phase calling. It also has new routines for quantitative trait locus mapping based on a hidden Markov model, which use the dosage data to model the effects of alleles from both parents simultaneously. A Windows-based interface facilitates data entry and exploration. It is distributed with a detailed user guide. TetraploidSNPMap is freely available from our GitHub repository.</span>
http://ift.tt/2qYIwJV
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Πέμπτη 11 Μαΐου 2017
TetraploidSNPMap: Software for Linkage Analysis and QTL Mapping in Autotetraploid Populations Using SNP Dosage Data
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Αλέξανδρος Γ. Σφακιανάκης Medicine by Alexandros G. Sfakianakis,Anapafseos 5 Agios Nikolaos 72100 Crete Greece,00302841026182,0030693260717...
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heory of COVID-19 pathogenesis Publication date: November 2020Source: Medical Hypotheses, Volume 144Author(s): Yuichiro J. Suzuki ScienceD...
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