LINKGEN: A new algorithm to process data in genetic linkage studies

dc.creatorSecolin, R
dc.creatorRocha, CS
dc.creatorTorres, FR
dc.creatorSantos, ML
dc.creatorMaurer-Morelli, CV
dc.creatorSantos, NF
dc.creatorLopes-Cendes, I
dc.date2008
dc.dateJUN
dc.date2014-11-15T00:46:29Z
dc.date2015-11-26T17:18:03Z
dc.date2014-11-15T00:46:29Z
dc.date2015-11-26T17:18:03Z
dc.date.accessioned2018-03-29T00:05:53Z
dc.date.available2018-03-29T00:05:53Z
dc.identifierGenomics. Academic Press Inc Elsevier Science, v. 91, n. 6, n. 544, n. 547, 2008.
dc.identifier0888-7543
dc.identifierWOS:000256915800010
dc.identifier10.1016/j.ygeno.2008.02.001
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/81091
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/81091
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/81091
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1282592
dc.descriptionGenetic linkage studies using whole genome scans are useful approaches for identifying genes related to human diseases. In general, these studies require genotyping of a large number of markers, which are used in statistical analysis. Recent technology has allowed easy genotyping of a large number of markers in less time; therefore, interface programs are required for manipulation of these large data sets. We present a new algorithm, which processes input data in LINK-AGE format from data analyzed by automated genotyping systems. The algorithm was implemented in PERL script and R environment. Validation was performed with genotyped data from 127 individuals and 720 microsatellite markers of two whole genome scans. Our results showed a significant decrease in data processing time. In addition, this algorithm provides unbiased allele frequency estimation used for linkage analysis. LINKGEN is a freely available online tool and allows easier, faster, and reliable manipulation of large genotyping data sets. (C) 2008 Elsevier Inc. All rights reserved.
dc.description91
dc.description6
dc.description544
dc.description547
dc.languageen
dc.publisherAcademic Press Inc Elsevier Science
dc.publisherSan Diego
dc.publisherEUA
dc.relationGenomics
dc.relationGenomics
dc.rightsfechado
dc.rightshttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dc.sourceWeb of Science
dc.subjectlinkage studies
dc.subjectdata handling
dc.subjectbioinformatics
dc.subjectMetaanalysis
dc.subjectGenome
dc.titleLINKGEN: A new algorithm to process data in genetic linkage studies
dc.typeArtículos de revistas


Este ítem pertenece a la siguiente institución