Abstract 2596: MediSapiens Explorer Technology Platform - Integrated Solution for big biomedical data
Authors: Edgren Henrik , teams MediSapiens bioinformatics and development 
Published: July 2017

During recent years, the increasing throughput and decreasing cost of technologies for genomic, transcriptomic, proteomic and other high throughput profiling of samples has enabled collection of very rich data sets on large sample cohorts. As methods have been developed to analyze e.g. large human germline sequencing studies, it has simultaneously become clear that the potential of the data can be fully and effectively leveraged only if technical solutions are developed to curate, store, harmonize and jointly use these omics data sets together with clinical and phenotypic data on the samples.

In the field of modern data-driven research, heterogeneous data is increasingly available through many dispersed resources, and in many cases, data from public sources is combined with proprietary data for analysis. Thus, it is not only important to have effective solutions for data storing and data management, but for data curation and data analysis and visualization. Data curation ensures that data from various sources are harmonized, standardized and cross-comparable. Powerful data analytics and visualization is pivotal in transforming data into information, new insights and added value.

To address these problems, MediSapiens has developed the Explorer™ Technology Platform solution, based on its extensive experience in both industrial software development and academic biomedical research. The Explorer™ Technology Platform has been designed for all of the three major parts of the data research workflow: For curating data, storing and managing data, and analyzing and visualizing data. This web browser based, integrated solution provides functionalities to import, curate, ontology map and store rich clinical data, as well as very large data sets of gene expression, copy number, mutation and other profiling data for both bulk and single-cell analyses (e.g. single-cell RNA-seq), and perform various analyses and visualization on the data.

Existing software components in the Explorer™ Technology Platform can quickly and efficiently be used to construct custom UI tools to query, analyze and interpret data according to individual customer needs. Further, the platform provides APIs which enable retrieval of data for integration with other systems, or development of custom analyses using e.g. R.

Here, we will illustrate the application of Explorer Technology Platform concept to solve a variety of problems in preclinical cancer research and personalized medicine, starting from efficient automated curation of clinical data through to integration of clinical and multi-omics data.

Citation Format: Henrik Edgren, MediSapiens bioinformatics and development teams. MediSapiens Explorer Technology Platform - Integrated Solution for big biomedical data [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 2596. doi:10.1158/1538-7445.AM2017-2596