Wang Tao, Director of Digital Health

He graduated from the Department of Computer Science at Peking University with a Ph.D. in Bioinformatics from Peking University and a postdoctoral fellowship at the University of California, San Diego.

 

His research focuses on machine learning algorithms and their applications in metabolomics, genomics, and epigenetics. The STAR genome browser, STAR bioinformatics process package, and ChromaSig 2.0 systems have been developed to participate in epigenetics. Roadmap Project (Epigenomic Roadmap). The research results were published in internationally renowned scientific journals such as Nature, Cell, Nucleic Acid Research, and Bioinformatics, and served as judges for 20 international academic journals including Nucleic Acid Research. With years of experience as a senior scientist in leading companies in the field of genetic testing, he is involved in the development of core bioinformatics process packages, mutation detection procedures, sequence big data analysis and processing, and laboratory information platform construction, in information technology, big data platforms, Machine learning and extensive experience in second-generation sequencing gene detection.

 

The published academic articles mainly include:

 

1 Roadmap Epigenomics Consortium, et al. Integrative analysis of 111 reference human epigenomes. Nature 01/2015; 518(7539):317-330.

 

2 Xie, W., Schultz, M., Lister, Wang, T., Zhang, MQ, Wang, W., Thomson, JA, Ecker, JR and Ren, B., et al. (2013) Epigenomic Analysis of Multi -lineage Differentiation of Human Embryonic Stem Cells. Cell. 153:1134-1148.

 

3 Wang, T., Liu, J., Shen, L., Tonti-Filippini, J., Zhu, Y., Jia, HY, Lister, R., Ecker, J., Harvey, MA, Ren, B. , Wang, W. (2013) STAR: An integrated solution to anagement and visualization of sequencing data, Bioinformatics, 29, 3204-3210.

 

4 Chong HK, Wang T, Lu HM, Seidler S, Lu H, et al. (2014) The Validation and Clinical Implementation of BRCAplus: A Comprehensive High-Risk Breast Cancer Diagnostic Assay. PLoS ONE 9(5): e97408.doi :10.1371/journal.pone.0097408.

 

5 Wang, T., Shao, K., Chu, QY, Ren YF, Mu, YM, Qu, LJ, He, J., Jin, CW, Xia, B. (2009) Automics: An integrated platform for NMR- Based on metabonomics/metabolomics spectra processing and data analysis. BMC Bioinformatics, 10 (83).

 

6 Won, KJ, Zhang, X., Wang, T., Ding, B., Raha, D., Snyder, M., Ren, B. and Wang, W. (2013) Comparative annotation of functional regions in the human Geometry using epigenomic data, Nucleic Acids Research, 41(8), 4423-4432.

 

7 Zhu, Y., Sun, L., Chen, Z., Whitaker, J. W., Wang, T., Wang, W. (2013) Predicting enhancer transcription and activity from chromatin modifications, Nucleic Acids Research, 41(16).

 

8 Ren, YF, Wang, T., Peng, Y., Xia, B., Qu, LJ (2009) Distinguishing transgenic from non transgenic Arabidopsis plants by 1H NMR-based metabolic fingerprinting. Journal of Genetics and Genomics, 36(10 ):621-628