C-DAC releases two software tools critical for research in life sciences – ET HealthWorld


Pune: Two products that would handle large genomic data and biomolecular structural data securely have been developed by the Advanced Computing Development Center (C-DAC) on Monday. Both were launched by the bioinformatics group during a three-day symposium at Accelerating Biology 2023: Discovery to Delivery.

Rajendra Joshi, Senior Director and Head of HPC Bioinformatics and Medical Applications Department at C-DAC, said: “The bioinformatics group at C-DAC has been focused on cutting-edge research. It provides high-end solutions to various academic institutions and industries using high-end supercomputing facilities for researchers working in bioinformatics and also serves as a platform for a number of national and international collaborations.”

These data are also crucial for the development of novel medicines and vaccines that lead to effective and accurate public information. health care solutions India needs to develop a strong capacity to develop such large facilities with modern hardware and software, which is capable of handling large genomic data, he said.

The Integrated Computing Environment, one of the products unveiled Monday, is a cloud-based indigenous genomics computational facility for bioinformatics.

It integrates ICE-cube, a hardware infrastructure, and ICE flakes, a software component that will help securely store and analyze petascale to exascale genomic data. ICE will help researchers unlock the full potential of data to deliver India-specific products and solutions in healthcare, agriculture, livestock and the environment.

The second product would allow biologists to visualize and analyze large volumes of biomolecular structural data resulting from experiments and simulations that would surely accelerate research in the field of computational drug discovery.

The use of high performance computing to analyze this large time scale relationship data through rapid rendering of 3D structures. space it would give the best understanding of biology for new discoveries.

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