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dc.contributor.authorJha, Alokkumar
dc.contributor.authorKhan, Yasar
dc.contributor.authorMehdi, Muntazir
dc.contributor.authorKarim, Md Rezaul
dc.contributor.authorMehmood, Qaiser
dc.contributor.authorZappa, Achille
dc.contributor.authorRebholz-Schuhmann, Dietrich
dc.contributor.authorSahay, Ratnesh
dc.date.accessioned2018-08-01T09:16:57Z
dc.date.available2018-08-01T09:16:57Z
dc.date.issued2017-09-19
dc.identifier.citationJha, Alokkumar,Khan, Yasar,Mehdi, Muntazir,Karim, Md Rezaul,Mehmood, Qaiser,Zappa, Achille,Rebholz-Schuhmann, Dietrich,Sahay, Ratnesh (2017) 'Towards precision medicine: discovering novel gynecological cancer biomarkers and pathways using linked data'. Journal of Biomedical Semantics, 8(1), 40. doi: 10.1186/s13326-017-0146-9en_IE
dc.identifier.issn2041-1480
dc.identifier.urihttp://hdl.handle.net/10379/7453
dc.description.abstractNext Generation Sequencing (NGS) is playing a key role in therapeutic decision making for the cancer prognosis and treatment. The NGS technologies are producing a massive amount of sequencing datasets. Often, these datasets are published from the isolated and different sequencing facilities. Consequently, the process of sharing and aggregating multisite sequencing datasets are thwarted by issues such as the need to discover relevant data from different sources, built scalable repositories, the automation of data linkage, the volume of the data, efficient querying mechanism, and information rich intuitive visualisation.en_IE
dc.description.sponsorshipThis publication has emanated from research supported by the research grant from Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/2289.en_IE
dc.formatapplication/pdfen_IE
dc.language.isoenen_IE
dc.publisherBioMed Centralen_IE
dc.relation.ispartofJournal of Biomedical Semanticsen
dc.subjectCancer genomicsen_IE
dc.subjectBiomarkersen_IE
dc.subjectMulti-Omicsen_IE
dc.subjectPathwaysen_IE
dc.subjectGynecological canceren_IE
dc.subjectLinked dataen_IE
dc.subjectSemantic technologiesen_IE
dc.titleTowards precision medicine: discovering novel gynecological cancer biomarkers and pathways using linked dataen_IE
dc.typeArticleen_IE
dc.date.updated2018-07-06T16:52:19Z
dc.identifier.doi10.1186/s13326-017-0146-9
dc.local.publishedsourcehttps://doi.org/10.1186/s13326-017-0146-9en_IE
dc.description.peer-reviewedpeer-reviewed
dc.contributor.funderScience Foundation Irelanden_IE
dc.internal.rssid14544075
dc.local.contactRatnesh Nandan Sahay, Deri, Dangan Business Park, Nui Galway. 5253 Email: ratnesh.sahay@nuigalway.ie
dc.local.copyrightcheckedYes
dc.local.versionACCEPTED
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