Beth Bioinformatics

Beth Bioinformatics Co., Ltd (BethBio) is registered in Hong Kong in the area of biotechnology. The company develops state-of-the-art technology for precision medicine in genomic sequencing analytics, pharmaceutical bioinformatics for optimal vaccine antigen design, and early screening of complex diseases by omics health datasets. BethBio has demonstrated continuous innovation ability in patent generation and research. The company collaborates closely with pharmaceutical companies, health organizations and hospitals on new technology’s translation.

AREAS OF TECHNOLOGY DEVELOPMENT AND SERVICE
Vaccine antigen design
BethBio develops automatic software to simulate and predict the best vaccine strain for next influenza season’s vaccine through artificial intelligence and bioinformatics methods.
Complex disease prediction
The company develops efficient and effective prediction software for human complex disorders using omics genetic and clinical data sets.
Bioinformatics consulting
The company has a group of experts in bioinformatics to provide consulting for sequencing data analytics, experimental design, and genomic data interpretation.

Research articles published by Beth associated research team

Research articles published by Beth associated research team

Maggie Haitian Wang, Haoyi Weng, Rui Sun, Jack Lee, William Ka Kei Wu, Ka Chun Chong, Benny Chung-Ying Zee (2017) A Zoom-Focus Algorithm (ZFA) to locate the optimal testing region for rare variant association tests. Bioinformatics. 2017 Mar 11;33(15):2330-6. IF=5.481.

Research articles published by Beth associated research team

Xiaoxuan Xia, Haoyi Weng, Rui Sun, Ka Chun Chong, Benny Chung Ying Zee*, Maggie Haitian Wang* Incorporating methylation genome information improves prediction accuracy for drug treatment responses. BMC Genetics. 2018 Sep;19(1):78.

Research articles published by Beth associated research team

Rui Sun, Haoyi Weng, Xiaoxuan Xia, Ka Chun Chong, Benny Chung-Ying Zee, Maggie Haitian Wang* Gene-methylation epistasis analysis by a W-test identified enriched signals of neuronal genes in patients undergone lipid control treatment. BMC Proceedings. 2018 Sep (Vol. 12, No. 9, p. 53).

Research articles published by Beth associated research team

Maggie Haitian Wang, Billy Chang, Rui Sun, Inchi Hu, Marc Ka Chun Chong, Benny Chung Ying Zee (2017), A Stratified Polygenic Risk Prediction Model with Application on CAGI Bipolar Disorder Sequencing Data. Human Mutation. 2017 Sep;38(9):1235-9. IF=5.359. Rank 24/171 in Genetics & Heredity Science

Research articles published by Beth associated research team

Chapter “Genetic Test, Risk Prediction Model, and Genetic Counselling", Maggie Haitian Wang, Haoyi Weng, in Book Translational Informatics in Smart Healthcare, Springer, 2017

Research articles published by Beth associated research team

Maggie Haitian Wang, Rui Sun, Junfeng Guo, Haoyi Weng, Jack Lee, Inchi Hu, Pak Sham and Benny C.Y. Zee (2016). A fast and powerful W-test for pairwise epistasis testing.
Nucleic Acids Research. 2016 Apr 25;44(12):e115-. IF=11.561. Rank 10/293 in Biochemistry & Molecular Biology Science

Research articles published by Beth associated research team

Rui Sun, Haoyi Weng, Inchi Hu, Junfeng Guo, William K.K. Wu, Benny Chung-Ying Zee, Maggie Haitian Wang* (2016) A W-test collapsing method for rare variant association testing in exome sequencing data. Genetic Epidemiology. 2016 Nov;40(7):591-6. DOI: 10.1002/gepi.22000.