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Ganit Labs, a genome sequencing and translational genomics lab, has announced that it sequenced and analysed the genome and its coding parts of neem plant - Azadirachta indica.
Announcing this to presspersons, Dr Binay Panda, Head of Ganit Labs, said “Neem is a unique, versatile and important tree species, used for multiple purposes, and often called as the panacea of all diseases.”
The plant has special significance in our country and due to its diverse use, is rightfully called as nature's pharmacy. Neem oil and its derivatives support multiple cottage industries in the country and is one of the important contributors to our bio-economy, he added.
Ganit Labs has established this with next-generation sequencing instruments with an inter-disciplinary environment where both computer science and biology has played a key role.
By this achievement, the lab is positioning itself to reap the benefits by its application in healthcare, agriculture and biodiversity. In addition to neem, the Labs has sequenced tongue cancer genomes from Indian patients and are engaged in discovering novel genetic changes in Indian oral cancer population.
Dr Panda, said, “We at Ganit Labs are committed to excellence in scientific education, research and innovation. By focusing on India-centric problems and making the results open and widely accessible, we hope to encourage and inspire young minds in taking up career in science and scientific innovation.”
“This sequencing has established us with next-generation sequencing instruments with an inter-disciplinary environment where both computer science and biology play key role,” Mr Panda added.
Professor N. Yathindra, Director, Institute of Bioinformatics and Applied Biotechnology (IBAB) commenting on Ganit Lab's achievement, said “The achievement of the Labs is the testament of the fact that by being at the cutting edge of bioinformatics and biological analysis, we can solve some of nature's mysteries. We are proud that IBAB played an important role in the first Indian de novo sequencing and analysis project”.
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