AI-Powered Marine Biology Research

AI-Driven Identification of Eukaryotic Taxa from Deep-Sea eDNA

Revolutionizing marine biodiversity research with advanced machine learning algorithms that identify unknown species from environmental DNA samples in the deep ocean.

Advancing Marine Discovery

Our AI pipeline transforms raw eDNA data into actionable biodiversity insights

eDNA Processing
Advanced cleaning and denoising of environmental DNA reads from deep-sea samples
AI Clustering
Machine learning embeddings group sequences into putative taxa, even without database matches
Novel Detection
Identify previously unknown species alongside known taxa from reference databases
Biodiversity Metrics
Comprehensive analysis of species richness, abundance, and diversity indices
Research Challenge

The Deep Sea Biodiversity Challenge

The deep sea contains a vast array of organisms, most of which remain unknown or poorly studied. Traditional eDNA analysis tools rely heavily on incomplete reference databases, leaving many sequences unclassified and biodiversity underestimated.

  • Incomplete reference databases limit species identification
  • Long processing times delay critical research insights
  • Novel taxa remain undetected in biodiversity assessments
Current Limitations
Unclassified Sequences60-80%
Processing TimeWeeks
Novel Species DetectionLimited