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Data management / Query languages / Cancer research / The Cancer Genome Atlas / Semantic Web / Biological databases / SPARQL / Linked data / Entrez / Medicine / Computing / National Institutes of Health


Fostering Serendipity through Big Linked Data Muhammad Saleem1 , Maulik R. Kamdar2 , Aftab Iqbal2 , Shanmukha Sampath2 , Helena F. Deus3 , and Axel-Cyrille Ngonga1 1 2
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Document Date: 2013-09-26 19:20:03

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File Size: 1,78 MB

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City

Enabling Evidence / /

Company

Big Linked Data / /

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Facility

Digital Enterprise Research Institute / Foundation Medicine Inc. One Kendal Square / National University of Ireland / /

IndustryTerm

i5 processor / data management solutions / query processing / integrated solutions / Web Conference / genome analysis technologies / query processing engine / data visualization tools / federated query processing / data-driven solutions / chemicals / data visualization/summarization tools / /

MedicalCondition

cancers / tumor / different tumor / TB / cancer / genetic disease / tumors / squamous carcinoma / e.g. breast cancer / rare cancers / metastasis / Lower Grade Glioma / TCGA tumors / large Linked Cancer Genome Atlas dataset / Bladder cancer / tumour / skin tumour / each individual’s cancer / Cutaneous melanoma / less common tumor / both cancer / particular tumor / different cancer / Acute Myeloid Leukemia / pancreatic cancer / certain cancer / tumours / /

Organization

National University of Ireland / /

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Position

author / physician / researcher / General / /

Product

PubMed / /

ProgrammingLanguage

XML / /

PublishedMedium

Lecture Notes in Computer Science / /

Technology

RAM / 2.53GHz i5 processor / genome analysis technologies / SNP / RDF / /

URL

http /

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