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dc.contributor.authorKamdar, MR
dc.contributor.authorIqbal, A
dc.contributor.authorSaleem, M
dc.contributor.authorDeus, HF
dc.contributor.authorDecker, S
dc.identifier.citationKamdar, MR; Iqbal, A; Saleem, M; Deus, HF; Decker, S (2014) GenomeSnip: Fragmenting the Genomic Wheel to augment discovery in cancer research Conference on Semantics in Healthcare and Life Sciences (CSHALS) Boston, MA, 2014-02-26- 2014-02-28en_US
dc.descriptionConference paperen_US
dc.description.abstractCancer genomics researchers have greatly benefited from high-throughput technologies for the characterization of genomic alterations in patients. These voluminous genomics datasets when supplemented with the appropriate computational tools have led towards the identification of 'oncogenes' and cancer pathways. However, if a researcher wishes to exploit the datasets in conjunction with this extracted knowledge his cognitive abilities need to be augmented through advanced visualizations. In this paper, we present GenomeSnip, a visual analytics platform, which facilitates the intuitive exploration of the human genome and displays the relationships between different genomic features. Knowledge, pertaining to the hierarchical categorization of the human genome, oncogenes and abstract, co-occurring relations, has been retrieved from multiple data sources and transformed a priori. We demonstrate how cancer experts could use this platform to interactively isolate genes or relations of interest and perform a comparative analysis on the 20.4 billion triples Linked Cancer Genome Atlas (TCGA) datasets.en_US
dc.relation.ispartofConference on Semantics in Healthcare and Life Sciences (CSHALS)en
dc.subjectCancer Researchen_US
dc.subjectIntegrative Genomicsen_US
dc.subjectLinked Dataen_US
dc.subjectVisual Knowledge Explorationen_US
dc.titleGenomeSnip: Fragmenting the Genomic Wheel to augment discovery in cancer researchen_US
dc.typeConference Paperen_US
dc.local.contactMaulik Kamdar, Deri, Ida Business Park, Lower Dangan, Nui Galway. Email:

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