Research Interests
Bioinformatics, Data analysis in high throughput sequencing biological data and medical signals.

Education
B.S., Automation, Dept. of Automation, University of Science and Technology of China, 1995-1999
M.S., Pattern Recognition and Intelligent system, Dept. of Automation, University of Science and Technology of China, 1999-2002
Ph.D., Control theory and Control Engineering, Dept. of Automation, Xiamen University, 2004-2007

Representative Publications
[1] Wang Y*,Lei X., Wang S., Wang Z., Song N., Zeng F., Chen T., Effect of k-tuple length on sample-comparison with high-throughput sequencing data. Biochemical and Biophysical Research Communications, 2016, 469(4):1021-7.
[2] Wang Y*,Chen L,Song N, Lei X, GASS: genome structural annotation for Eukaryotes based on species similarity. BMC Genomics, 2015, 16:150
[3] Zhang L, Guo T, Xi B, Yang F, Wang K, Bi J, Wang, Y*  Automatic recognition of cardiac arrhythmias based on the geometric patterns of Poincaré plots. Physiological Measurement, 2015, 36, 283–301
[4] Wang Y*,Liu L, Chen L, Chen T, Sun FComparison of Metatranscriptomic Samples Based on k-Tuple Frequencies. PLoS ONE, 2014, 9(1): e84348. doi:10.1371/journal.pone.0084348
[5]  Wang Y*,Liu L. RNA-Seq-based assessment for genome annotation databases (in Chinese). Chin Sci Bull (Chin Ver), 2013, 58: 3471–3482, doi: 10.1360/972012-1038
[6] Wang Y.*,Gaurang Mehta, Rajiv Mayani, Jingxi Lu, Tade Souaiaia, Chen Y., Andrew Clark, Oleg V. Evgrafov, James A. Knowles, Ewa Deelman, Chen T., RseqFlow: Workflows for RNA-Seq data analysis, Bioinformatics.2011 Sep 15;27(18):2598-600