Re-visualizing Bioinformatics

Let Extended Reality provide a fresh insight into health information data

XR is empowering the field of bioinformatics with data visualization

Beyond games, beyond movies and even beyond education—there is one sector where Extended Reality can be seen to truly make a difference to life. That is the field of Bioinformatics. For those who dreamed of becoming scientists and improving the quality of living, Bioinformatics offers exciting opportunities. Combining health information and data, it uses computing tools and techniques to analyze large amounts of biological data and come up with solutions that can be applied to critical medical areas such as gene therapy, and early identification and prevention of diseases by processing genomics, transcriptomics, proteomics and metagenomics data, and comparing it with health care data. However, given the large amount of data that is generated through bioinformatics research, it is important to understand what it means before applying it.

That is where Extended Reality plays a part. It aids in data visualization—graphic representation of the data by producing images that communicate the relationship between the various data values via systematic mapping. For decades, AR-related technologies were developed and applied to Bioinformatics problems. However, it is only more recently that XR has been applied to create stunning and immersive experiences that aid in both research and education. With a growing interest in visualizing complex biological structures such as DNA strands, XR promises to provide a clear insight into medical scenarios in stunning detail and in a more in-depth manner. At TILTLABS, we can tap into our Data Analytics Pipeline to provide valuable support in terms of creating vast data repositories to make this happen.

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What we do

Seeing what lies beyond the biological data can help uncover a treasure trove of valuable health-related information. Here’s how Extended Reality has can be applied to enrich the quality of life.


XR can be used to construct a seamless UI/UX platform that provides a closer look at nucleic acids and protein products in in-depth 3D. This makes it easier for medical professionals to visualize the Whole Genome Sequencing process.


XR makes it possible to study protein to protein interaction in a simulated setting. This enables prediction of prominent structural domains and identification of drug targets with the aid of biomarkers through homology modeling.

Drug design

Knowing how the human system reacts to drugs goes a long way towards producing effective medicines with less side effects. Visualizing the drug reaction process via XR makes it possible to identify target-based drug molecules and helps to predict drugs with better bioavailability and less toxicity.

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    Frequently Asked Questions

    How is AR/VR used in bioinformatics?
    By enabling 3D visualization of critical health data, Virtual Reality (VR) enables a more in- depth, minute understanding of such information. This immersive visualization, in turn, provides valuable support when it comes to identifying and treating major diseases.
    What are the ways in which immersive technology can be applied to the field of bioinformatics?
    One of the ways in which immersive tech is being used is in the field of Proteomics by creating virtual 3D protein structures to understand protein arrangement and displacement. Other applications comprise exploration of microscopic organisms, molecular data analysis as well as structural biology and molecular modeling.
    What is the future of Extended Reality (XR) in bioinformatics?
    Extended Reality is already changing the way of life in many ways and the field of bioinformatics is no exception. The ability to visualize how cells work has allowed scientists and researchers to envision new ways of treating diseases. In fact, one of the biggest breakthroughs on the horizon is in field of cancer research—studying DNA can help in recognizing the hereditary aspect of melanoma, thus helping doctors to devise an effective cure.