Over the course of our research, we realized that multi-omic data holds the key to identifying novel solutions for some of the most pressing problems in healthcare and biomedical sciences, such as cancer precision therapy, and finding new drug targets or biomarkers.
However, the data is large, heterogeneous, and importantly extraction of meaningful insights require specific technical skills, scientific know-how, and computational infrastructure, which is largely lacking among primary stakeholders.
In addition, the bioinformatic methods and algorithms are in many cases not replicable, challenging to implement, and complex to use.
Furthermore, a large amount of -omic data with potentially targetable, but yet unanalyzed features exist in several scientific databases. The full potential of multi-omics hence remains largely untapped.
To solve this, we are developing BAINOM-nX, which serves as a one-stop multi-omic bioinformatics platform for seamlessly processing, analyzing, inferring, and visualizing any available or user-generated multi-omic data.
We achieve this by: (1) consolidating all standard and advanced -omic data analysis methods as cloud-based AI workflows, (2) creating a multi-omic tensor of pre-analyzed features, co-located by mining all available -omic dataspace, (3) Making ready-to-go interpretive machine learning models available, and (4) utilizing cutting-edge data visualization tools such as Dash-plotly and D3.js.
As 3 separate domain specific modules, BAINOM-nX has applications in precision health, drug discovery, and biomedical research.
For precision health, BAINOM-nX aids in assessing the impact of every disease variant, co-located from all available multi-omic dataspace. For drug discovery and development, BAINOM-nX supports identification of novel druggable gene targets, patient stratification, and development of novel small molecules among other functions. Finally, BAINOM-nX accelerates biomedical research by serving as a data analysis platform for every stage of multi-omic research, from analysis to creation of tangible outcomes such as research articles, grant applications, databases.
We are also using BAINOM-nX for developing our own biomarker and drug discovery pipelines.