{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,3]],"date-time":"2024-08-03T13:22:45Z","timestamp":1722691365436},"reference-count":17,"publisher":"Oxford University Press (OUP)","issue":"24","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010,12,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Motivation: Genome maps are imperative to address the genetic basis of the biology of an organism. While a growing number of genomes are being sequenced providing the ultimate genome maps\u2014this being done at an even faster pace now using new generation sequencers\u2014the process of constructing intermediate maps to build and validate a genome assembly remains an important component for producing complete genome sequences. However, current mapping approach lack statistical confidence measures necessary to identify precisely relevant inconsistencies between a genome map and an assembly.<\/jats:p>\n               <jats:p>Results: We propose new methods to derive statistical measures of confidence on genome maps using a comparative model for radiation hybrid data. We describe algorithms allowing to (i) sample from a distribution of maps and (ii) exploit this distribution to construct robust maps. We provide an example of application of these methods on a dog dataset that demonstrates the interest of our approach.<\/jats:p>\n               <jats:p>Availability: Methods are implemented in two freely available softwares: Carthagene (http:\/\/www.inra.fr\/mia\/T\/CarthaGene\/) and a companion software (metamap, available at: http:\/\/snp.toulouse.inra.fr\/~servin\/index.cgi\/Metamap)<\/jats:p>\n               <jats:p>Contact: \u00a0Bertrand.Servin@toulouse.inra.fr<\/jats:p>\n               <jats:p>Supplementary information: \u00a0Supplementary data are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btq598","type":"journal-article","created":{"date-parts":[[2010,11,14]],"date-time":"2010-11-14T01:26:18Z","timestamp":1289697978000},"page":"3035-3042","source":"Crossref","is-referenced-by-count":13,"title":["Statistical confidence measures for genome maps: application to the validation of genome assemblies"],"prefix":"10.1093","volume":"26","author":[{"given":"Bertrand","family":"Servin","sequence":"first","affiliation":[{"name":"1 INRA Toulouse \u2013 Laboratoire de G\u00e9n\u00e9tique Cellulaire and 2INRA Toulouse\u2013Unit\u00e9 de Biom\u00e9trie et Intelligence Artificielle, Castanet-Tolosan, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Simon","family":"de Givry","sequence":"additional","affiliation":[{"name":"1 INRA Toulouse \u2013 Laboratoire de G\u00e9n\u00e9tique Cellulaire and 2INRA Toulouse\u2013Unit\u00e9 de Biom\u00e9trie et Intelligence Artificielle, Castanet-Tolosan, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thomas","family":"Faraut","sequence":"additional","affiliation":[{"name":"1 INRA Toulouse \u2013 Laboratoire de G\u00e9n\u00e9tique Cellulaire and 2INRA Toulouse\u2013Unit\u00e9 de Biom\u00e9trie et Intelligence Artificielle, Castanet-Tolosan, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2010,11,13]]},"reference":[{"key":"2023012508032218100_B1","doi-asserted-by":"crossref","first-page":"350","DOI":"10.1101\/gr.10.3.350","article-title":"A fast and scalable radiation hybrid map construction and integration strategy","volume":"10","author":"Agarwala","year":"2000","journal-title":"Genome Res."},{"key":"2023012508032218100_B2","volume-title":"The Traveling Salesman Problem: A Computational Study.","author":"Applegate","year":"2007"},{"key":"2023012508032218100_B3","doi-asserted-by":"crossref","first-page":"517","DOI":"10.1089\/cmb.1997.4.517","article-title":"On constructing radiation hybrid maps","volume":"4","author":"Ben-Dor","year":"1997","journal-title":"J. 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