Towards precision medicine: discovering novel gynecological cancer biomarkers and pathways using linked data
Jha, Alokkumar Khan, Yasar Mehdi, Muntazir Karim, Md Rezaul Mehmood, Qaiser Zappa, Achille Rebholz-Schuhmann, Dietrich Sahay, Ratnesh
Jha, Alokkumar
Khan, Yasar
Mehdi, Muntazir
Karim, Md Rezaul
Mehmood, Qaiser
Zappa, Achille
Rebholz-Schuhmann, Dietrich
Sahay, Ratnesh
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Publication Date
2017-09-19
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Article
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Jha, 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/s13326-017-0146-9
Abstract
Next 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.
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Publisher
BioMed Central
Publisher DOI
10.1186/s13326-017-0146-9
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Attribution-NonCommercial-NoDerivs 3.0 Ireland