Since the completion of the Human Genome Project in 2003, genetic analysis technology has advanced by leaps and bounds. Gene expression analysis methods that were widely used in the past could only identify genetic features averaged across biological samples of different types of cells. On the other hand, the single-cell RNA sequencing analyzes the gene expression of each individual cell, and based on the results, it is possible to accurately understand the similarities and differences between cells in the entire sample.

This means more accurate and precise genetic analysis of biological samples, just like looking through a microscope at what used to be seen through a magnifying glass. The single-cell RNA sequencing has been expanded to a multi-omics analysis that simultaneously analyzes mRNA expression, proteins, DNA sequences, and even the location of cells in a tissue. Recently, it is receiving great attention from the global biomedical community.

The goal of einocle is to renew the understanding of diseases that are difficult to diagnose and treat, such as rare incurable diseases or cancer, based on single-cell multi-omics analysis, and to develop novel diagnostic and therapeutic methods that directly benefit patients.

To this end, we are building our own database for single-cell genome multi-omics analysis of clinical patients suffering from various diseases at home and abroad. In addition, we are developing a high-efficiency, low-cost next-generation single-cell pre-processing platform and an AI-based advanced bioinformatics pipeline that can quickly and effectively analyze clinical data.