Revolutionary AI-driven eDNA analysis revealing hidden biodiversity in the abyss
Unlocking deep-sea secrets through revolutionary AI-powered eDNA analysis
Abyssal plains, hydrothermal vents, and seamounts harbor undiscovered species critical for conservation strategies and biotechnological breakthroughs.
Traditional analysis fails due to poor deep-sea representation in reference databases like SILVA, PR2, and NCBI.
Current limitations:
Misclassifications, unassigned reads, and biodiversity underestimation
QIIME2, DADA2, and mothur pipelines struggle with novel divergent taxa and excessive computational time.
Deep learning and unsupervised learning classify eukaryotic taxa directly from raw eDNA reads
Independent analysis without reference limitations
Optimized workflows for faster analysis
Revealing previously unknown species
Comprehensive deep-sea eDNA analysis powered by cutting-edge AI technology
Routine voyages to collect sediment and water samples from hotspot regions
Deep learning identifies eukaryotic taxa directly from raw eDNA reads
Continuous assessment and conservation strategy development
Partner with CMLRE to unlock the mysteries of deep-sea biodiversity using our revolutionary AI-driven eDNA analysis platform.
Ready to dive deep? Connect with CMLRE to revolutionize your deep-sea biodiversity research.
research@cmlre.gov.in
+91 484 253 0868
CMLRE, Ministry of Earth Sciences
Kochi, Kerala, India