Based on deep sequencing

Biological sample authentication

Utilizing advanced sequencing methods for precise authentication and feature identification of biological samples.

Next generation sequencing

(NGS and third-generation/fourth generation sequencing)

Used for genome analysis and sample feature identification to ensure accuracy in data quality and reproducibility.

High resolution

mass spectrum

Key technologies for protein and metabolite analysis, supporting high-throughput proteomics and metabolomics analysis.

Multiple omics data

Integration platform

Integrate genomic, proteomic, and metabolomic data to provide comprehensive insights into biological sample analysis.

Advanced

Machine learning algorithms

Used for bioinformatics analysis, optimizing data interpretation, and discovering complex patterns in multi omics data.

Cloud data

Storage and Analysis Infrastructure

Scalable security infrastructure for real-time processing, storage, and analysis of large-scale omics data.