earticle

영어

There are many openly available medical resources, which include structural clinical and genomic data for cancer patients. The data sources are provided with primitive toolsets which provide minimal descriptive statistics to help in initial exploratory analysis. However, this minimal support is not sufficient in many ways. Firstly, with an individual data source, the tools are not supporting statistical models and visualization to infer preferable clinical association with gnomically mutated patient data. Secondly, these data tools are not coherent to integrate the external toolsets for sharing the data and analytical outcomes. To target this limitation, the paper provides a technical detail of the development of Webbased tools – known as BioKG portal (Biological Knowledge Graph). At this moment, the BioKG is coming with features; a) provide unified data-model (influenced from knowledge graph), b) integration of different data sources with propriety data support – such as CSV files, JSON based API, other custom delimited files, c) integrated gene set enrichment analysis support on unified clinical and genomic data, and d) visualization support for the analytical outcomes. The BioKG portal is demonstrated in thyroid cancer by integrating data from openly available portals – TCGA and cBioPortal. This web-based toolset's key advantages are facilitating stakeholders with diverse capabilities – such as clinicians, bioinformaticians, and computer scientists.