BioTest - Remote Platform for Hypothesis Testing and Analysis of Biomedical Data

Modern multi-omics studies introduce a major challenge for biomedical data storage, processing and integration. The ability to utilize multiple different measurement techniques in order to provide a comprehensive view on the studied processes is becoming a standard in molecular biology and medicine, increasing the need for the development of new strategies used for handling various types of data in a single environment. To address this need we developed a remotely accessible BioTest platform which allows to process multi-omics data, obtained using various measurement techniques, including next-generation sequencing (NGS), oligonucleotide microarrays, and mass spectrometry. This allows to process various biomedical data from genomic level, trough transcriptomics, up to the proteomic level on a scalable environment that can handle even the largest datasets. Integrated version control for library files and intermediate results as well as the possibility of designing workflows comprised of various algorithms, ensures that all of the results are highly reproducible. Incorporated support for MapReduce jobs and Big Data processing on a high performance computer cluster allows to test multiple various hypotheses at the same time. BioTest is the answer to the information explosion observable in life sciences, especially in a cancer research. The ability to handle large amounts of information and possibility to integrate data from various experiments is essential for high quality research, being one of the most important steps towards the development of personalized medicine.