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DC Field Value Language Cheon, M[Cheon, Mookyung] ko Kim, C[Kim, Choongrak] ko Chang, I[Chang, Iksoo] ko 2017-07-05T08:46:02Z - 2017-04-10 - 2016-03-15 -
dc.identifier.citation Bioinformatics, v.32, no.6, pp.801 - 807 -
dc.identifier.issn 1367-4803 -
dc.identifier.uri -
dc.description.abstract Motivation: The loci-ordering, based on two-point recombination fractions for a pair of loci, is the most important step in constructing a reliable and fine genetic map. Results: Using the concept from complex graph theory, here we propose a Laplacian ordering approach which uncovers the loci-ordering of multiloci simultaneously. The algebraic property for a Fiedler vector of a Laplacian matrix, constructed from the recombination fraction of the loci-ordering for 26 loci of barley chromosome IV, 846 loci of Arabidopsis thaliana and 1903 loci of Malus domestica, together with the variable threshold uncovers their loci-orders. It offers an alternative yet robust approach for ordering multiloci. Availability and implementation: Source code program with data set is available as supplementary data and also in a software category of the website ( Contact: or Supplementary information: Supplementary data are available at Bioinformatics online. © 2015 The Author 2015. Published by Oxford University Press. All rights reserved. -
dc.publisher Oxford University Press -
dc.title Uncovering multiloci-ordering by algebraic property of Laplacian matrix and its Fiedler vector -
dc.type Article -
dc.identifier.doi 10.1093/bioinformatics/btv669 -
dc.identifier.wosid 000372975000001 -
dc.identifier.scopusid 2-s2.0-84962178077 -
dc.type.local Article(Overseas) -
dc.type.rims ART -
dc.description.journalClass 1 -
dc.contributor.nonIdAuthor Kim, C[Kim, Choongrak] -
dc.identifier.citationVolume 32 -
dc.identifier.citationNumber 6 -
dc.identifier.citationStartPage 801 -
dc.identifier.citationEndPage 807 -
dc.identifier.citationTitle Bioinformatics -
dc.type.journalArticle Article -
dc.contributor.affiliatedAuthor Cheon, M[Cheon, Mookyung] -
dc.contributor.affiliatedAuthor Chang, I[Chang, Iksoo] -
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Department of Brain Sciences Theoretical and Computational Biophysics Laboratory 1. Journal Articles


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