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dc.contributor.authorMahony, Sean
dc.contributor.authorSmith, Terry
dc.date.accessioned2014-02-05T16:11:14Z
dc.date.available2014-02-05T16:11:14Z
dc.date.issued2004-03-05
dc.identifier.citationMahony, S,McInerney, JO,Smith, TJ,Golden, A (2004) 'Gene prediction using the Self-Organizing Map: automatic generation of multiple gene models'. BMC Bioinformatics, 5 .en_US
dc.identifier.urihttp://hdl.handle.net/10379/4153
dc.descriptionJournal article (open access)en_US
dc.description.abstractThis work explores a new approach to gene-prediction, based on the Self-Organizing Map, which has the ability to automatically identify multiple gene models within a genome. The current implementation, named RescueNet, uses relative synonymous codon usage as the indicator of protein-coding potential.en_US
dc.description.sponsorshipIRCSETen_US
dc.formatapplication/pdfen_US
dc.language.isoenen_US
dc.relation.ispartofBMC Bioinformaticsen
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Ireland
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/ie/
dc.subjectComplete genome sequenceen_US
dc.subjectHorizontally transferred genesen_US
dc.subjectSynonymous codon usageen_US
dc.subjectBorrelia-burgdorferien_US
dc.subjectBacterial genomeen_US
dc.subjectBase compositionen_US
dc.subjectSelectionen_US
dc.subjectIdentificationen_US
dc.subjectArabidopsisen_US
dc.subjectAnnotationen_US
dc.titleGene prediction using the Self-Organizing Map: automatic generation of multiple gene modelsen_US
dc.typeArticleen_US
dc.date.updated2013-10-07T15:38:58Z
dc.identifier.doi10.1186/1471-2105-5-23
dc.local.publishedsourcehttp://dx.doi.org/10.1186/1471-2105-5-23en_US
dc.description.peer-reviewedpeer-reviewed
dc.internal.rssid1131650
dc.local.contactTerry Smith, School Of Natural Sciences, Nui Galway. 5488 Email: terry.smith@nuigalway.ie
dc.local.copyrightcheckedNo
dc.local.versionACCEPTED
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Attribution-NonCommercial-NoDerivs 3.0 Ireland
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Ireland