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hal.structure.identifierUniversity of Wisconsin-Madison
dc.contributor.authorENDELMAN, Jeffrey B.
hal.structure.identifierBiodiversité, Gènes & Communautés [BioGeCo]
dc.contributor.authorPLOMION, Christophe
dc.date.accessioned2022-10-12T13:01:58Z
dc.date.available2022-10-12T13:01:58Z
dc.date.issued2014
dc.identifier.issn1367-4803
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/157584
dc.description.abstractEnConsensus genetic maps constructed from multiple populations are an important resource for both basic and applied research, including genome-wide association analysis, genome sequence assembly, and studies of evolution. The LPmerge software uses linear programming (LP) to efficiently minimize the mean absolute error between the consensus map and the linkage maps from each population. This minimization is performed subject to linear inequality constraints that ensure the ordering of the markers in the linkage maps is preserved. When marker order is inconsistent between linkage maps, a minimum set of ordinal constraints is deleted to resolve the conflicts.
dc.language.isoen
dc.publisherOxford University Press (OUP)
dc.title.enLPmerge: an R package for merging genetic maps by linear programming
dc.typeArticle de revue
dc.identifier.doi10.1093/bioinformatics/btu091
dc.subject.halSciences du Vivant [q-bio]
bordeaux.journalBioinformatics
bordeaux.page1623-1624
bordeaux.volume30
bordeaux.hal.laboratoriesBioGeCo (Biodiversité Gènes & Communautés) - UMR 1202*
bordeaux.issue11
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-02637910
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02637910v1
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