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dc.contributor.authorFarrer, Rhys A
dc.date.accessioned2018-11-02T14:10:05Z
dc.date.available2018-11-02T14:10:05Z
dc.date.issued2017-11-21
dc.identifier.citationFarrer , R A 2017 , ' Synima : a Synteny imaging tool for annotated genome assemblies ' BioMed Central Bioinformatics , vol. 18 , no. 1 , 507 . https://doi.org/10.1186/s12859-017-1939-7en
dc.identifier.issn1471-2105
dc.identifier.otherPURE: 140310040
dc.identifier.otherPURE UUID: ac6635b6-82f1-4d59-b939-af6b9d08beac
dc.identifier.otherPubMed: 29162056
dc.identifier.otherPubMedCentral: PMC5697234
dc.identifier.otherScopus: 85034632197
dc.identifier.otherORCID: /0000-0001-8456-7458/work/50284149
dc.identifier.urihttp://hdl.handle.net/2164/11373
dc.descriptionAcknowledgements I would like to thank Chris Desjardins and Brian Haas for assistance and contributions to the ortholog prediction code and pipeline, and José Muñoz and anonymous reviewer 1 for code testing. Funding This work was supported by an MIT / Wellcome Trust Fellowship. Availability of data and materials Synima is open source and freely available from https://github.com/rhysf/ Synima under the MIT License. The download includes all example data presented in this manuscript.en
dc.format.extent4en
dc.language.isoeng
dc.relation.ispartofBioMed Central Bioinformaticsen
dc.rights© The Author(s). 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.en
dc.subjectSyntenyen
dc.subjectimaging toolen
dc.subjectorthologyen
dc.subjectvisualizationen
dc.subjectR Medicine (General)en
dc.subjectWellcome Trusten
dc.subject.lccR1en
dc.titleSynima : a Synteny imaging tool for annotated genome assembliesen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen, Medical Sciencesen
dc.description.statusPeer revieweden
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.1186/s12859-017-1939-7


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