Welcome to Sciencelet Bioinformatics Lab

Pioneering computational methods for biological data analysis and discovery.

About Us

A Better Way to Understand Biology

Our mission is to bridge the gap between computer science and biology, providing innovative tools and insights to accelerate scientific discovery.

Advanced Analytics

Leveraging state-of-the-art machine learning and statistical methods to uncover hidden patterns in complex biological datasets.

Open Science

Committed to reproducibility and transparency, we develop open-source software and make our research findings accessible to everyone.

Our Research Areas

Exploring the frontiers of computational biology to solve critical challenges in modern medicine and biology.

Genomics

Developing algorithms for variant calling, genome assembly, and structural variation detection from next-generation sequencing data.

Structural Biology

Predicting protein structures and modeling protein-ligand interactions to accelerate drug discovery pipelines.

Systems Biology

Integrating multi-omics datasets to construct and analyze complex biological networks and pathways.