Relying on the world class supercomputers, such as Tianhe-2 at NSCC-Guangzhou, Mira at Argonne National Lab, the lab develops computational techniques to study biologically important problems, such as drug discovery, protein folding and structure prediction, gene assembly and classification, medical image analysis, etc. The aim is, through developing more efficient computational algorithms, to provide fundamental understanding of several key issues in these areas.

Research is funded by The National Key Research and Development Program of China, National Natural Science Foundation of China, National High Technology Research and Development Program of China(863), Guangdong Provincial Department of Science and Technology, Science & Technology Innovation Commission of Shenzhen.

Nov.26-28, 2021
The 17th International Symposium on Bioinformatics Research and Applications (ISBRA) joint with The International Conference on Big Data and Security (ICBDS 2021) was successfully held during Nov.26-28, 2021. ISBRA 2021 was hosted by Shenzhen Institutes of Advanced Technology...
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Nov.15, 2020
Congratulations to CBBLAB for winning the first prize (Chen Zhuang, Du Wu and Fangyu Zhang) and third prize (Ying Huang and Zhen Ju) of ACM-China International Parallel Computing Challenge (IPCC)....
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May.20, 2018
Development of biofuels, novel drugs, or an understanding of many illnesses such as cancer, Alzheimer's or other amyloid diseases, requires insight into the molecular machinery of cells. Systems biology obtains such insight from an analysis of the biological networks that describe ...
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