Towards precision medicine: discovering novel gynecological cancer biomarkers and pathways using linked data.

ABSTRACT:

Background

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.

Results

We present an approach to link and query different sequencing datasets (TCGA, COSMIC, REACTOME, KEGG and GO) to indicate risks for four can

SUBMITTER: Jha A 

PROVIDER: S-EPMC5606033 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature