Powered by Next Generation Genomics
Applying current industry standard Big Data analytics solution to biological data.
Re-imagining data-mining, representation and visualization for Genomics. With our intuitive problem specific reporting, we make genomics data consumable for the general public.
Our current focus area. Driven by our experience in TB epidemiology, molecular biology and genomics. Setting the bar for At-Scale genomic diagnostics, one disease at a time.
Despite being the most well studied genomes, genomics of bacteria, viruses and protozoa are yet to benefit from the genome sciences. One of the principle reasons for the lag is the “non-glamorous” nature of the infectious diseases (IDs). IDs are classically believed to be the problem of the public health system, and consequently are the biggest expense heads in the health program of India.With our validate WGS analysis pipeline, the turn-around-time (TAT) for WGS based drug susceptibility testing of M.tb would be reduced to 5-10 days, as against 1 – 5 months. The implementation of portable sequencers, the TAT would reduce to a few hours (Votintseva et al. 2017).
Whole genome shot-gun sequencing (WGS) of M.tuberculosis (M.tb) isolates in Mumbai demonstrated the disruptive power of WGS in drug susceptibility testing (DST) and unparalleled epidemiological insights (Chatterjee et.al. 2017). From raw data to a diagnostic report, WGS based DST analytics requires meagerly few minutes.
We don't want to simplify genomics.
Our at-scale genomic pipeline, maintains the intensity of research methodologies. However, our big-data analytics, wraps around the genomic pipeline ensuring that the complex and high performance fades into the background. What remains is a simplified "Diagnostic Report", instantly consumable by the general public.
Our vision is to use high performance computing along with big-data at an affordable scale making it available as a Plug'N'Play platform.