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dc.contributor.authorCarver, Timen
dc.contributor.authorCunningham, Alexen
dc.contributor.authorBabb, Chantal Louizaen
dc.contributor.authorLee, Andrewen
dc.contributor.authorHartley, Simonen
dc.contributor.authorTischkowitz, Marcen
dc.contributor.authorWalter, Fionaen
dc.contributor.authorEaston, Douglasen
dc.contributor.authorAntoniou, Antonisen
dc.date.accessioned2018-06-08T12:19:06Z
dc.date.available2018-06-08T12:19:06Z
dc.date.issued2018-03en
dc.identifier.issn1367-4803
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/276778
dc.description.abstractMotivation: The collection, management and visualisation of clinical pedigree (family history) data is a core activity in clinical genetics centres. However, clinical pedigree datasets can be difficult to manage, as they are time consuming to capture, and can be difficult to build, manipu-late and visualise graphically. Several standalone graphical pedigree editors and drawing appli-cations exist but there are no freely available lightweight graphical pedigree editors that can be easily configured and incorporated into web applications. Results: We developed ‘pedigreejs’, an interactive graphical pedigree editor written in JavaS-cript, which uses standard pedigree nomenclature. Pedigreejs provides an easily configurable, extensible and lightweight pedigree editor. It makes use of an open-source Javascript library to define a hierarchical layout and to produce images in scalable vector graphics (SVG) format that can be viewed and edited in web browsers
dc.format.mediumPrinten
dc.languageengen
dc.publisherOUP
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectHumansen
dc.subjectMedical History Takingen
dc.subjectPedigreeen
dc.subjectInterneten
dc.subjectSoftwareen
dc.subjectFemaleen
dc.subjectMaleen
dc.subjectWeb Browseren
dc.titlepedigreejs: a web-based graphical pedigree editor.en
dc.typeArticle
prism.endingPage1071
prism.issueIdentifier6en
prism.publicationDate2018en
prism.publicationNameBioinformatics (Oxford, England)en
prism.startingPage1069
prism.volume34en
dc.identifier.doi10.17863/CAM.24070
dcterms.dateAccepted2017-10-30en
rioxxterms.versionofrecord10.1093/bioinformatics/btx705en
rioxxterms.versionVoR*
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2018-03en
dc.contributor.orcidCunningham, Alex [0000-0002-3737-9611]
dc.contributor.orcidBabb de Villiers, Chantal [0000-0003-1334-1819]
dc.contributor.orcidLee, Andrew [0000-0003-0677-0252]
dc.contributor.orcidHartley, Simon [0000-0001-7991-0581]
dc.contributor.orcidTischkowitz, Marc [0000-0002-7880-0628]
dc.contributor.orcidWalter, Fiona [0000-0002-7191-6476]
dc.contributor.orcidEaston, Douglas [0000-0003-2444-3247]
dc.contributor.orcidAntoniou, Antonis [0000-0001-9223-3116]
dc.identifier.eissn1367-4811
rioxxterms.typeJournal Article/Reviewen
pubs.funder-project-idCancer Research UK (20861)
pubs.funder-project-idWellcome Trust (203477/B/16/Z)
pubs.funder-project-idEuropean Commission Horizon 2020 (H2020) Societal Challenges (634935)
pubs.funder-project-idEuropean Commission Horizon 2020 (H2020) Societal Challenges (633784)
pubs.funder-project-idCancer Research UK (CRUK-A16563)
pubs.funder-project-idWellcome Trust (203477/Z/16/Z)


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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International