Microbial Bioinformatics Group

The initiative on method development, which aims to provide a set of methods, from genome assembly, gene annotation to network analysis, which are urgently needed by researchers worldwide.

We aim to develop new methods for combining different types of omics data -- genomics, transcriptomic, proteomics, metabolomics and network-omic -- from high-throughput sequencing facilities, and interpret gene regulation process, gene expression dynamics, etc.

Algorithm development for genome evolution and community evolution. The aim is progressive develop methods for analysis of simple problems such as SNP and indel detection, to more biologically complex problems such as SNP and indel detections from metagenomic data, and to more computationally complex problems such as the fitness of the gene modules in the network.

A comprehensive analysis on pan-genome's gene prediction, gene annotation, gene expression and comparative genomic study in micro-algae.

Study on accelerating the genomic data analysis efficiency by high-performance computing. There are generally two sub-areas. The first is the development and utilization of high-performance computing hardware (such as GPGPU) and software to improve efficiency. The second is the development of collaborative systems for efficient process of multiple sets of genomic data, and establish the online website for open service.